US20050010087A1 - Wireless, internet-based medical-diagnostic system - Google Patents

Wireless, internet-based medical-diagnostic system Download PDF

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Publication number
US20050010087A1
US20050010087A1 US10/752,198 US75219804A US2005010087A1 US 20050010087 A1 US20050010087 A1 US 20050010087A1 US 75219804 A US75219804 A US 75219804A US 2005010087 A1 US2005010087 A1 US 2005010087A1
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data
vital
sign
patient
location
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US7396330B2 (en
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Matthew Banet
Randon Schultz
Robert Murad
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Sotera Wireless Inc
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TRIAGE DATA NETWORKS
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Publication of US20050010087A1 publication Critical patent/US20050010087A1/en
Priority to US10/906,665 priority patent/US20050148882A1/en
Priority claimed from US10/906,665 external-priority patent/US20050148882A1/en
Priority to US11/160,942 priority patent/US7481772B2/en
Priority to US11/355,559 priority patent/US20060142648A1/en
Priority to US11/931,471 priority patent/US20080103405A1/en
Priority to US11/931,531 priority patent/US20080097178A1/en
Publication of US7396330B2 publication Critical patent/US7396330B2/en
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Assigned to TRIAGE WIRELESS, INC. reassignment TRIAGE WIRELESS, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: TRIAGE DATA NETWORKS, INC.
Priority to US12/704,952 priority patent/US20100168536A1/en
Assigned to SOTERA WIRELESS, INC. reassignment SOTERA WIRELESS, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: TRIAGE WIRELESS, INC.
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022Monitoring a patient using a global network, e.g. telephone networks, internet
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/07Home care
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816Measuring devices for examining respiratory frequency
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays
    • A61B5/745Details of notification to user or communication with user or patient ; user input means using visual displays using a holographic display
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S128/00Surgery
    • Y10S128/903Radio telemetry

Definitions

  • the present invention features a wireless, internet-based system for diagnosing a patient.
  • Medical professionals use a variety of medical devices to measure a patient's vital signs during a routine checkup. Such devices can measure, for example, blood pressure, blood oxygen saturation (called O 2 saturation), electrocardiograms, heart rate, respiratory rate, and blood glucose level.
  • a sphygmomanometer measures blood pressure with an inflatable cuff and sensing electronics that determine the patient's systolic and diastolic blood pressure.
  • Another medical device called a pulse oximeter, clips to the patient's finger and measures the percentage of haemoglobin that is saturated with oxygen. To make this measurement, the pulse oximeter includes separate light sources (e.g.
  • Haemoglobin in the blood partly absorbs the light to a degree that depends on whether it is saturated or desaturated with oxygen.
  • a calculator in the oximeter calculates the absorption at the two wavelengths and computes the proportion of haemoglobin that is oxygenated. The data are dependant on a pulsatile flow of blood and are typically plotted as a waveform that the calculator additionally analyzes to determine the patient's heart rate.
  • An electrocardiography measurement device measures a patient's electrocardiogram (ECG) with at least three conductive electrodes that attach to the patient.
  • the electrodes detect time-dependent electrical impulses generated by the patient's beating heart.
  • the measurement device also includes software that analyzes the impulses to determine a time-dependent waveform from which the patient's heart rate and cardiac response are calculated.
  • the same electrodes used to measure an ECG can also include transducers or accelerometers that detect a patient's respiratory (i.e. breathing) rate.
  • Diabetic patients typically monitor their blood glucose level using a simple device called a glucometer. For these measurements, the patient draws a small sample of blood (by pricking a finger, for example) and applies this to a test strip. The patient then inserts the test strip into the glucometer, which includes an electrical system to determine the electrical properties of the blood. Software in the glucometer uses these properties to determine the patient's glucose level.
  • data indicating blood pressure, O 2 saturation, ECG, heart rate, and respiratory rate are measured during a patient's appointment with a medical professional, such as a doctor, nurse, or certified diabetic educator. Once measured, the medical professional manually records these data in either a written or electronic file. Appointments typically take place a few times each year. And in some cases patients experience ‘white coat syndrome’ where anxiety during the appointment affects the vital signs that are measured. For example, white coat syndrome can elevate a patient's heart rate and blood pressure; this, in turn, can lead to an inaccurate diagnoses.
  • a diabetic patient will typically use a glucometer to measure their blood glucose levels several times each day, typically before and after meals.
  • the patient may record the data in a logbook, which is then reviewed during at home or during a medical appointment.
  • Some glucometers additionally include both electronic memory and a serial interface.
  • a personal computer equipped with the appropriate software and serial cable can download data from the glucometer and store it electronically in a file.
  • the software may also include graphical capabilities that can, for example, plot data so that the patient can make a relatively sophisticated analysis of their blood glucose level.
  • Some medical devices for measuring the above-mentioned vital signs include systems for transmitting data from a remote site, such as the patient's home, to a central database. These systems can include a conventional computer modem that transmits data through a telephone line to the database. Or alternatively they can include a wireless transmitter, such as a cellular telephone or a radio modem, which wirelessly transmits the data through a wireless network.
  • the invention features a wireless, internet-based medical device for remotely monitoring a patient. Specifically, it measures data characterizing a patient's vital signs, wirelessly transmits these data through a wireless network to an internet-accessible software piece, analyzes the data, and then avails the analyzed data over a web site hosted on the internet.
  • a medical professional such as a registered nurse working in a call center, can view and analyze these data in real-time to accurately diagnose the patient. In this way a thorough medical ‘appointment’ can be conducted over the telephone or Internet while the patient remains at home.
  • a single medical professional can monitor hundreds of patients, each in separate remote site, using the Internet.
  • the invention features a system for monitoring a patient's vital signs that includes a vital-sign monitor.
  • the monitor includes sensors for measuring from the patient at least one of the following vital-sign data: O 2 saturation, blood pressure, ECG, respiratory rate, and blood glucose level.
  • the system also includes a wireless transmitter, in electrical contact with the vital-sign monitor, that receives the vital-sign data and wirelessly transmits these data through a conventional wireless network.
  • a gateway software piece then receives and processes the vital-sign data from the wireless network and stores these data in a database associated with a database software piece.
  • the system also includes separate Internet-based user interfaces that display the vital sign data for: 1) individual users (e.g., a ‘patient interface’); and 2) groups of users (e.g., a ‘care-provider interface’) associated with a care-provider.
  • individual users e.g., a ‘patient interface’
  • groups of users e.g., a ‘care-provider interface’
  • the Internet-based user interface features a login functionality that analyzes input information (e.g., a login and password) and in response renders either the first or second interface.
  • input information e.g., a login and password
  • the care-provider interface typically includes a numerical table that displays the vital-sign data associated with the plurality of patients (e.g., users). This interface can also display an ‘alert’ message associated with a user.
  • alert messages can be text messages with associated graphics that indicate a patient's status.
  • the system can include an application software piece that processes vital-sign data.
  • the software piece can be an algorithm that compares the vital-sign data to a pre-determined level. Or the software piece can process multiple vital-sign data, or the patient's gender or age, to generate the alert message.
  • the system further includes a first software component that transmits an electronic file
  • the vital-sign monitor includes a second software component that receives the electronic file.
  • the Internet-based user interface includes a web page that sends an email, electronic message, or database-generated report, such as pre-determined file stored in the database, to a patient. The messages can be automatically sent following analysis of the vital-sign data.
  • the first software component is configured to transmit data formatted in an XML-based format (e.g. an XML document).
  • the XML-based format can be compatible with a second Internet-based software system.
  • the XML-based format can integrate with a Web Services software system so that information can be sent from one web-based application to another.
  • the vital-sign monitor further includes a display that displays an email or electronic message received from the Internet.
  • the second software component can be configured to receive and process wirelessly transmitted computer code.
  • the computer code can update the vital-sign monitor's existing computer code. Or it can function to load a schema into the monitor's memory, or modify its transmission properties (e.g., the frequency at which it transmits data, or the type of data that are transmitted).
  • the invention features a system for monitoring a patient that includes a vital-sign monitor integrated into a unit that is head-worn, wrist-worn or finger-worn.
  • the monitor can include both wrist-worn and finger-worn components.
  • the vital-sign monitor includes a sensor that measures data characterizing O 2 saturation from the patient. Typically for the head-worn unit the data are measured from a region on the patient's head.
  • the system also includes a global positioning system that determines location-based data.
  • a processor in wired or unwired electrical contact with the vital-sign monitor and the global positioning system, receives and processes the O 2 saturation and location-based data to determine the patient's vital signs and location.
  • the head-worn unit can also include a display or an earpiece using a text-to-speech controller to display or describe the vital signs. Such a device, for example, could be used during exercise (e.g., jogging).
  • the head-worn unit is a pair of eyeglasses or sunglasses that features an optical sensor measuring O 2 saturation from the patient's earlobe.
  • the display is integrated into a transparent portion of the eyeglasses, or the earpiece can be integrated into the frames near the patient's ear. In either case, the patient is made aware of their O 2 saturation and location-based data, and derivatives thereof, during exercise.
  • the finger-worn unit can take the form of a finger ring.
  • the invention features a system for monitoring a patient that includes a blood-pressure monitor that measures O 2 saturation data from the patient.
  • a processor in wired or unwired electrical contact with the monitor, receives and processes the O 2 saturation data to determine blood pressure.
  • a wireless transmitter receives the blood pressure data and transmits this information through a wireless network.
  • the invention features a patient monitoring system that includes a blood-pressure monitor integrated into a finger or wrist-worn unit comprising a sensor that measures data characterizing O 2 saturation and blood pressure from the patient.
  • a processor in wired or unwired electrical contact with the monitor, receives and processes the O 2 saturation and blood pressure data.
  • a wireless transmitter receives the O 2 saturation and blood pressure data from the processor and transmits these data through a wireless network.
  • wireless network refers to a standard wireless communication network (e.g., CDMA networks provided by companies such as Sprint and Verizon; GSM/GPRS networks provided by ATT and Cingular; or wireless data networks such as the Mobitex or DataTac networks). These networks connect a wireless transmitter or a silicon-based chipset to the Internet-based software piece. Also in the above-described methods, the ‘measuring’ and ‘transmitting’ steps can be performed at any time and with any frequency, depending on the diagnoses being performed.
  • the wireless network may also short-range wireless transmitters and receivers. These devices, for example, may use wireless protocols such as any version of 802.11 (e.g., 802.11b), BluetoothTM, or a short-range radio protocol.
  • Web page refers to a standard, single graphical user interface or ‘page’ that is hosted on the Internet or worldwide web.
  • Web pages typically include: 1) a ‘graphical’ component for displaying a user interface (typically written in a computer language called ‘HTML’ or hypertext mark-up language); an ‘application’ component that produces functional applications, e.g. sorting and customer registration, for the graphical functions on the page (typically written in, e.g., C++ or java); and a database component that accesses a relational database (typically written in a database-specific language, e.g. SQL*Plus for Oracle databases).
  • a ‘web site’ typically includes multiple web pages, many of which are ‘linked’ together, that are accessed through a series of ‘mouse clicks’.
  • Different embodiments of the invention include one or more of the following advantages. They allow one or more medical professionals to remotely analyze a large group of patients accurately and in real-time. Patients can measure their vital signs and subsequently have these data monitored by a medical professional located thousands of miles away. Data measured with high frequency (e.g., several times each day) provide a relatively comprehensive data set compared to that measured during medical appointments separated by several weeks or even months. This allows both the patient and medical professional to observe trends in the data, such as a gradual increase or decrease in a particular vital sign, which may indicate a medical condition. And they minimize effects of white coat syndrome since the patient can make measurements at home or work.
  • Diabetic patients can use at least some of the embodiments to wirelessly transmit their blood glucose level after each measurement, making it unnecessary to record these data in a logbook.
  • Patients with Internet access can view data analyzed with a variety of algorithms.
  • parents can remotely view data measured by their children.
  • medical appointments professionals can view the data and adjust a patient's exercise and diet to better control their diabetes.
  • a call center staffed by medical professionals can use the invention to constantly monitor patients, such as patients with severe cardiac conditions, and quickly respond in the case of emergency.
  • various embodiments of the wireless, internet-based medical-diagnostic system described herein provide an in-depth, cost-effective mechanism to evaluate a patient's medical condition. Certain medical conditions can be controlled, and in some cases predicted, before they actually occur. Moreover, data from the patient can be collected and analyzed, often in a continuous manner, while the patient participates in their normal, day-to-day activities. This provides a relatively comprehensive diagnosis that is not possible using a conventional medical-diagnostic system.
  • An internet-based software system for medical diagnoses can also be easily updated and made available to a large group of users simply by updating software on the web site.
  • a comparable updating process for a series of in-hospital medical devices can only be accomplished by updating the software on each individual device. This, of course, is time-consuming, inefficient, and expensive, and introduces the possibility that many devices within a particular product line will not have the very latest software.
  • the device used to access and transmit the patient's data can be small, portable, and low-cost. Measurements are made in a matter of minutes and transmitted with a latency of a few seconds.
  • a single device can also be used to measure and transmit data from multiple patients, provided it includes software and hardware that allows each patient to enter an identifying code that is, in turn, associated with their respective vital-sign data.
  • the resulting data have many uses for patients, medical professional, insurance companies, pharmaceutical agencies conducting clinical trials, and organizations for home-health monitoring.
  • FIG. 1 is a schematic drawing showing an internet-based medical-diagnostic system that transmits vital-sign data through a wireless network to an Internet-accessible host computer system;
  • FIG. 2 is a schematic drawing of the medical-diagnostic system of FIG. 1 featuring a vital-sign monitor, a GPS system, and a wireless-transmitting system;
  • FIG. 3 is a schematic drawing of the vital-sign monitor featured in the medical-diagnostic system of FIG. 2 ;
  • FIG. 4 is a schematic drawing of a web site that displays data from the medical-diagnostic system of FIG. 1 and features web pages associated with either a care-provider or patient interface;
  • FIG. 5 is a screen capture of a web page from the care-provider interface of FIG. 4 that shows a list of patients, each corresponding to a single care-provider, and their associated vital-sign data;
  • FIG. 6 is a screen capture of a web page from the care-provider interface of FIG. 5 that features a plot of a patient's time-dependent blood glucose level;
  • FIG. 7 is a screen capture of a portion of a web page from the care-provider interface of FIG. 5 that features an ECG and a mathematical function used to model the ECG;
  • FIG. 8 is a screen capture from an Internet-based instant message transmitted by the medical-diagnostic system of FIG. 1 .
  • FIG. 1 shows a schematic drawing of an Internet-based medical-diagnostic system 2 .
  • the system 2 features a vital-signs monitor 40 that measures vital-sign data from a patient 32 and wirelessly transmits these data over a wireless network 4 to a web site 6 accessible through the Internet 7 .
  • the system 2 functions in a bi-directional manner, i.e. the vital-sign monitor 40 can both send and receive data.
  • the vital-sign monitor 40 predominantly transmits vital-sign data through the wireless network 4 to the web site 6 .
  • the monitor 40 also receives text-based instant messages (described with reference to FIG. 8 ) and software upgrades to function in a bi-directional manner.
  • the vital-sign monitor 40 includes systems that measure, e.g., blood pressure, O 2 saturation, ECGs, heart rate, respiratory rate, and blood glucose level. After these data are measured, software in the monitor 40 formats them into a data packet. The monitor radiates the packet to a base station 11 included in the wireless network 4 .
  • a host computer system 5 running a gateway software piece connects to the wireless network 4 and receives data packet from multiple vital-sign monitors.
  • the host computer system 5 may include multiple computers, software pieces, and other signal-processing and switching equipment, such as routers and digital signal processors.
  • the wireless network 4 typically transfers data to the host computer system 5 using a TCP/IP-based connection, or with a dedicated digital leased line (e.g., a frame-relay circuit or a digital line running an X.25 protocol).
  • the host computer system 5 also hosts the web site 6 using conventional computer hardware (e.g. computer servers for both a database and the web site) and software (e.g., web server and database software).
  • the patient 32 accesses a patient interface 14 hosted on the web site 6 through the Internet 7 from a secondary computer system 8 .
  • the patient interface 14 displays vital-sign data measured from a single patient.
  • a call center 12 typically staffed with medical professionals such as doctors, nurses, or nurse practioners, accesses a care-provider interface 13 hosted on the website 6 .
  • the care-provider interface 13 displays vital-sign data from multiple patients. Both the patient and care-provider interfaces are described in more detail with references to FIGS. 4-8 .
  • the vital-sign monitor 40 additionally includes a GPS system that receives GPS signals from a conventional GPS satellite system 24 and processes these signals to determine a location (more specifically the latitude, longitude, and altitude) of the monitor and, presumably, the patient. This location, for example, could be used to locate a patient during an emergency for purposes of dispatching an ambulance.
  • the appliance transmits separate data packets through the wireless network 11 that feature a ‘payload’ containing either the vital-sign data or the GPS-determined location. Typically these data are sent in separate packets, although they could be bundled into a single packet.
  • the data packets additionally contain information of the packets' status, an address describing their destination, and an address describing their origin. These data packets are transmitted over conventional wireless network, such as a CDMA, GSM/GPSRS, Mobitex, or DataTac network.
  • the specific network is associated with the wireless transmitter used by the monitor to transmit the data packet.
  • FIG. 2 shows a schematic drawing that describes the vital-sign monitor 40 in more detail.
  • the monitor features a microprocessor module 46 that includes a computer microprocessor or microcontroller and multiple serial interfaces 47 a - c .
  • the microprocessor module communicates with external devices using, for example, an RS-232 or other serial protocol operating over the serial interfaces 47 a - c .
  • One serial interface 47 c communicates with the sensors for monitoring vital signs 50 described in more detail with reference to FIG. 3 . Through this serial interface the microprocessor module 46 collects vital-sign data and formats it into a packet as described above.
  • the microprocessor module 46 collects GPS location-based data from a GPS receiver 48 through a second serial interface 47 b , also communicating with an RS-232 or other serial protocol.
  • the GPS receiver 48 generates the location-based data by collecting GPS signals from orbiting GPS satellites using a GPS antenna 52 .
  • Both the GPS receiver 48 and the sensors for measuring vital signs 50 may continually and automatically send data across the respective serial ports 47 b , 47 c at a well-defined frequency (e.g., every second). Or they may only send data in response to a command sent by the microprocessor module 46 .
  • the radio modem 44 functions as a wireless transmitter that transmits data packets through an antenna 42 and over a wireless network. As described above, the wireless network chosen to transmit the data packets will dictate the type of wireless transmitter used in the monitor 40 .
  • the microprocessor module 46 runs software and a data-collection ‘schema’ loaded into memory 49 , such as a random-access memory.
  • the schema is essentially a ‘map’ that describes: i) the type of data collected from the sensors for monitoring vital signs 50 and the GPS receiver 48 ; ii) the frequency that these data are collected; and iii) the frequency that these data are transmitted.
  • a schema specific to a given set of sensors is typically loaded onto the memory 49 before the monitor is distributed to a patient.
  • the vital-sign monitor collects vital-sign and location-based data defined by the schema, and transmits these data in packets as described above.
  • the network transfers the data packet to the host computer system.
  • the host computer system analyzes the data packet using a ‘map’ that corresponds to the schema to generate a data set. Every schema has a corresponding map.
  • the map includes, for example, a list of the collected data, and an acronym and unit for each datum.
  • the data set, acronym, and units are then displayed on the web site and are viewed by any ‘registered’ user (i.e., a patient or call center employee with a username and corresponding password) with Internet connectivity.
  • FIG. 3 shows the sensors for monitoring vital signs 50 in more detail.
  • the sensors 50 feature a controller 60 , such as a separate microprocessor or microcontroller, that interfaces to monitors for: i) O 2 saturation 62 ; blood pressure 64 ; ECG 66 ; and respiratory rate 68 .
  • a controller 60 communicates with a glucometer 70 using the same microprocessor or microcontroller.
  • the monitor includes a socket or plug to which the glucometer 70 connects.
  • glucometer which is typically portable
  • the medical device 69 including the above-mentioned monitors is typically larger than a conventional glucometer, and is thus connected directly to the controller 60 at all times.
  • Companies manufacturing medical devices including the monitors described in FIG. 3 include the following: Smith-BCI, Welch Allyn, Medtronic, Hewlett Packard, and Philips Medical.
  • companies manufacturing glucometers that may be used with the vital-sign monitor include Johnson & Johnson, Bayer and Roche.
  • FIG. 4 illustrates the concept of patient and care-provider interfaces in more detail.
  • the figure shows a schematic drawing of a login process 74 for a web site 75 that displays vital-sign data for a series of ‘patients’ associated with a single ‘care provider’. Each patient is associated with a single vital-sign monitor.
  • a user ‘logs’ into the web site 75 through a login interface 76 by entering a username and password that, once entered, are compared to a database associated with the web site. The comparison determines if the user is a patient or a care provider.
  • the web site renders a care-provider interface 77 that contains multiple web pages describing, e.g., vital-sign and location-based data for each patient associated, e.g., with a given hospital. Users viewing the care-provider interface 77 do not have access to data corresponding to patients associated with another care provider.
  • the web site 75 renders a patient interface 78 that contains vital-sign and location-based data for the patient. Each patient using the web site 75 is associated with a unique patient interface 78 that renders following a login event. Note that patients sharing a single vital-sign monitor will only have access to their personal patient interface.
  • the patient using the monitor needs to enter a code (e.g., an alphanumeric code) to log into the monitor.
  • This code is then transmitted with the vital-sign and GPS-determined data.
  • the host computer system processes the code to route these data to a section of the database corresponding specifically to the patient using the monitor.
  • FIG. 5 shows a screen capture of a web page 100 included in the care-provider interface referred to in FIG. 4 .
  • the web page 100 features a left-hand navigation bar 80 and a table 82 that lists vital-sign data for a group of patients associated with the call center.
  • the table 82 includes unique fields for the patient's name, the age and location, and vital-sign medical data including: respiratory rate, O 2 saturation, blood pressure, pulse rate, and temperature.
  • the table also includes a field listing a time when the patient's data was last collected.
  • the table 82 includes a row corresponding to a 35-year-old patient named Peter Townsend from San Diego, Calif.
  • the patient's last reading measured at 2:12 on May 27, 2001, yields the following vital-sign data: respiratory rate 20 breaths/minute O 2 saturation 97% blood Pressure: 120 mm Hg/80 mm Hg pulse rate: 85 beats/minute temperature: 100.1 ° F.
  • a call-center operator monitors these data by accessing the web page 100 through the Internet. After analyzing the data, the operator can use the web page 100 to access other data corresponding to the patient, such as their current medication using button 98 , or their medical records using button 94 . The operator can also search for a particular patient by entering their last name in a search field 90 and then clicking a ‘search’ button 91 . Or the operator can register a new patient by clicking on a ‘Register Patient’ button 98 included in the left-hand navigation bar 80 .
  • the call-center operator diagnoses the patient using the vital-sign data in a manner similar to protocols used during a conventional medical appointment.
  • the operator can efficiently monitor hundreds of patients, each in a remote location, through the Internet. For example, following analysis, the operator may send the patient to a hospital, or may recommend a therapy to the patient using a telephone, email, or Internet-based instant message. Or if the patient's data looks normal the operator may deem the patient healthy and issue a clean bill of health.
  • Both the care-provider and patient interfaces may additionally include comprehensive displays of the patient's time-dependent vital-sign data.
  • FIG. 6 shows a web page 149 that includes a header field 150 that lists general information about the patient and recent measurements, a table 152 that lists measured vital signs and suggested values of the vital signs, and a graph 154 that plots the vital-sign data in a time-dependent manner.
  • the header field 150 includes fields for the patient's name 164 , a time/date stamp 166 corresponding to the time and GPS-determined location of the last reading, and a ‘Get Measurement’ button that if clicked remotely initiates a measurement by wirelessly sending a command to the vital-sign monitor.
  • This command could: i) prompt the patient to make a new measurement; ii) automatically initiate a measurement if the vital-sign monitor is attached to the patient; or iii) retrieve vital-sign data stored in the monitor's memory.
  • the header field also includes a series of tabs 160 that each list tables and graphs corresponding to a different vital sign.
  • the web page 149 shown in FIG. 5 shows data corresponding to a patient's glucose level as measured with a glucometer and wirelessly transmitted as described above.
  • the table 152 lists a series of data fields 161 that show running average values of the patient's daily, monthly, and yearly glucose levels. The levels are compared to a series of corresponding ‘suggested’ values that are extracted from a database associated with the web site. The table then calculates the difference between the running average and suggested values to give the patient an idea of how their data compares to that of a healthy patient.
  • the graph 154 shows a simple plot of the patient's glucose level vs. a time/date stamp corresponding to a particular measurement. These time-dependent data are then compared to the same suggested values (in this case 105 mg/dL) of glucose listed in the table 152 .
  • the graph 154 shows both the patient and call-center operator trends in the glucose level. These trends, for example, may be used to adjust the patient's diet, exercise level, or insulin dosage.
  • FIG. 7 shows another example of how vital-sign data measured from the patient and wirelessly transmitted through the wireless network to the Internet can be analyzed in a graphical form.
  • the web page 154 shows a graph 170 of an ECG waveform 174 measured from the patient.
  • the waveform 174 features a series of cardiac rhythms, shown in more detail in a window 176 on the web page, that indicate how the patient's heart is beating.
  • the cardiac rhythms are measured by electrodes attached to the patient, and typically represent electrical measurements made at a frequency of approximately 100 to 120 samples/second.
  • the wireless medical device transmits a single packet containing a few seconds worth of data (i.e. a few hundred samples). Or the device may transmit several packets, each containing fewer samples.
  • the computer used by the web site for data analysis parses the packets and pieces together the data from the individual packets to form a single waveform.
  • the computer can also analyze a portion of the waveform by comparing it to a mathematical function (using, e.g., a least-squares ‘fitting’ algorithm), represented by a curve 180 .
  • the mathematical function may be used to analyze the ECG waveform in a more quantitative manner. For example, as shown in a table 176 , the mathematical parameters used to generate the curve 180 may be compared to those used to generate a curve for analyzing a previous ECG waveform.
  • This comparison yields a quantitative correlation to the earlier waveform, thereby allowing both the patient and the call-center operator to gauge the patient's time-dependent cardiac behavior. This comparison can also determine if the patient's cardiac response is normal or abnormal, as shown in the table 176 .
  • FIG. 8 shows a screen capture of an instant message 200 transmitted from the call center to the patient's vital-sign monitor.
  • Such an instant message 200 can be sent using a conventional instant message software program, such as that supplied by YahooTM or America OnLineTM.
  • the instant message can be sent to the patient's computer, cellular telephone, personal digital assistant, or a comparable device. It includes a header portion 202 that lists options for storing, editing, viewing, and formatting the message.
  • the message 200 features a text window 205 that lists a text message 204 sent from the call-center operator to the patient.
  • the text message 204 also includes an Internet link 206 to the patient's web page that, when clicked, displays the pages described in FIGS. 4-7 above.
  • the web pages used to display the data can take many different forms, as can the manner in which the data are displayed.
  • Web pages are typically written in a computer language such as ‘HTML’ (hypertext mark-up language), and may also contain computer code written in languages such as java and javascript for performing certain functions (e.g., sorting of names).
  • the web pages are also associated with database software (provided by companies such as Oracle and Microsoft) that is used to store and access data. Equivalent versions of these computer languages and software can also be used.
  • database software provided by companies such as Oracle and Microsoft
  • Equivalent versions of these computer languages and software can also be used.
  • the graphical content and functionality of the web pages may vary substantially from what is shown in the above-described figures.
  • web pages may also be formatted using standard wireless access protocols (WAP) so that they can be accessed using wireless devices such as cellular telephones, personal digital assistants (PDAs), and related devices.
  • WAP wireless access protocols
  • Different web pages may be designed and accessed depending on the end-user.
  • individual users have access to web pages that only their vital-sign data (i.e., the patient interface), while organizations that support a large number of patients (e.g. hospitals) have access to web pages that contain data from a group of patients (i.e., the care-provider interface).
  • Other interfaces can also be used with the web site, such as interfaces used for: insurance companies, members of a particular company, clinical trials for pharmaceutical companies, and e-commerce purposes.
  • Vital-sign data displayed on these web pages for example, can be sorted and analyzed depending on the patient's medical history, age, sex, medical condition, and geographic location.
  • the web pages also support a wide range of algorithms that can be used to analyze data once it is extracted from the data packets.
  • the above-mentioned instant message or email can be sent out as an ‘alert’ in response to vitals signs indicating a medical condition that requires immediate attention.
  • the message could be sent out when a data parameter (e.g. temperature) exceeded a predetermined value.
  • a data parameter e.g. temperature
  • multiple parameters e.g., O 2 saturation, ECG waveform
  • an alert message can be sent out after analyzing one or more data parameters using any type of algorithm.
  • the radio modem used to transmit the data may employ a terrestrial GPS system, such as that available on modems designed by Qualcomm, Inc.
  • the wireless transmitter and general system described above can be used to transmit data generated with any medical device, including devices that measure or characterize cholesterol, coumadin levels, clotting factors, proteins or antibodies, illegal substances, or levels pharmaceutical compounds.
  • the wireless transmitter transmits blood pressure, heart rate, and O 2 saturation information determined from a hand or finger-worn monitor.
  • the blood pressure information may be determined from a finger-worn monitor that measures O 2 saturation.
  • the monitor can be used to characterize a wide range of maladies, such as diabetes, congestive heart failure, sleep apnea and other sleep disorders, asthma, heart attack and other cardiac conditions, stroke, Alzheimer's disease, and hypertension.
  • the vital-sign monitor or components thereof and GPS electronics are integrated into other devices to perform the above-described measurements.
  • the sensor for the pulse oximeter makes a measurement from the patient's earlobe and is integrated into a head-worn unit, e.g. a pair of eyeglasses or sunglasses.
  • electronics that analyze the signals generated from the sensor can also be integrated into the head-worn unit (e.g., into the frames of the eyeglasses) or into a belt-worn module that, in turn, is attached to the head-worn unit using a wired or unwired (e.g., short-range wireless) connection.
  • the belt-worn unit includes a controller and serial port that, respectively, analyze the data and download the data to an external computer.
  • a display e.g., a ‘head's up’ or holographic display
  • a text-to-speech controller can be used to describe the data in an audio manner to the patient.
  • the head-worn embodiment of the vital-sign monitor can also include memory that stores the measured vital signs and a GPS-determined location. This way, the location and vital-sign data can be downloaded to a computer through the serial port and viewed by the patient. This allows, for example, a patient to monitor his vital signs as a function of location or time. Such a device would be particularly useful for training purposes for athletes, e.g. marathon runners.
  • the senor for the pulse oximeter takes the form of a finger ring or an adhesive patch and is connected to the belt-worn module as described above.
  • the connection can be a wired or unwired connection.

Abstract

A system for monitoring a patient's vital signs that features a vital-sign monitor including sensors for measuring from the patient at least one of the following vital-sign data: O2 saturation, blood pressure, electro-cardiogram, respirator rate, and blood glucose level. The system also includes a global positioning system that determines location-based data. A wireless transmitter, in electrical contact with the vital-sign monitor and global positioning system, receives the vital-sign and location-based data and wirelessly transmits these data through a conventional wireless network. A gateway software piece receives and processes the data from the wireless network and stores these data in a computer memory associated with a database software piece. The system also includes an Internet-based user interface that displays the vital sign data for both individual patients and care-providers.

Description

  • This application claims the benefit of U.S. Provisional Application No. 60/438,442, filed Jan. 7, 2003.
  • FIELD OF THE INVENTION
  • The present invention features a wireless, internet-based system for diagnosing a patient.
  • BACKGROUND OF THE INVENTION
  • Medical professionals use a variety of medical devices to measure a patient's vital signs during a routine checkup. Such devices can measure, for example, blood pressure, blood oxygen saturation (called O2 saturation), electrocardiograms, heart rate, respiratory rate, and blood glucose level. A sphygmomanometer measures blood pressure with an inflatable cuff and sensing electronics that determine the patient's systolic and diastolic blood pressure. Another medical device, called a pulse oximeter, clips to the patient's finger and measures the percentage of haemoglobin that is saturated with oxygen. To make this measurement, the pulse oximeter includes separate light sources (e.g. diode lasers or light-emitting diodes) that emit radiation at two different wavelengths (typically 650 nm and 805 nm). Haemoglobin in the blood partly absorbs the light to a degree that depends on whether it is saturated or desaturated with oxygen. A calculator in the oximeter calculates the absorption at the two wavelengths and computes the proportion of haemoglobin that is oxygenated. The data are dependant on a pulsatile flow of blood and are typically plotted as a waveform that the calculator additionally analyzes to determine the patient's heart rate.
  • An electrocardiography measurement device measures a patient's electrocardiogram (ECG) with at least three conductive electrodes that attach to the patient. The electrodes detect time-dependent electrical impulses generated by the patient's beating heart. The measurement device also includes software that analyzes the impulses to determine a time-dependent waveform from which the patient's heart rate and cardiac response are calculated. The same electrodes used to measure an ECG can also include transducers or accelerometers that detect a patient's respiratory (i.e. breathing) rate.
  • Diabetic patients typically monitor their blood glucose level using a simple device called a glucometer. For these measurements, the patient draws a small sample of blood (by pricking a finger, for example) and applies this to a test strip. The patient then inserts the test strip into the glucometer, which includes an electrical system to determine the electrical properties of the blood. Software in the glucometer uses these properties to determine the patient's glucose level.
  • In typical applications, data indicating blood pressure, O2 saturation, ECG, heart rate, and respiratory rate are measured during a patient's appointment with a medical professional, such as a doctor, nurse, or certified diabetic educator. Once measured, the medical professional manually records these data in either a written or electronic file. Appointments typically take place a few times each year. And in some cases patients experience ‘white coat syndrome’ where anxiety during the appointment affects the vital signs that are measured. For example, white coat syndrome can elevate a patient's heart rate and blood pressure; this, in turn, can lead to an inaccurate diagnoses.
  • A diabetic patient will typically use a glucometer to measure their blood glucose levels several times each day, typically before and after meals. The patient may record the data in a logbook, which is then reviewed during at home or during a medical appointment. Some glucometers additionally include both electronic memory and a serial interface. In this case a personal computer equipped with the appropriate software and serial cable can download data from the glucometer and store it electronically in a file. The software may also include graphical capabilities that can, for example, plot data so that the patient can make a relatively sophisticated analysis of their blood glucose level.
  • Some medical devices for measuring the above-mentioned vital signs include systems for transmitting data from a remote site, such as the patient's home, to a central database. These systems can include a conventional computer modem that transmits data through a telephone line to the database. Or alternatively they can include a wireless transmitter, such as a cellular telephone or a radio modem, which wirelessly transmits the data through a wireless network.
  • BRIEF SUMMARY OF THE INVENTION
  • In general, in one aspect, the invention features a wireless, internet-based medical device for remotely monitoring a patient. Specifically, it measures data characterizing a patient's vital signs, wirelessly transmits these data through a wireless network to an internet-accessible software piece, analyzes the data, and then avails the analyzed data over a web site hosted on the internet. A medical professional, such as a registered nurse working in a call center, can view and analyze these data in real-time to accurately diagnose the patient. In this way a thorough medical ‘appointment’ can be conducted over the telephone or Internet while the patient remains at home. A single medical professional can monitor hundreds of patients, each in separate remote site, using the Internet.
  • In general, in another aspect, the invention features a system for monitoring a patient's vital signs that includes a vital-sign monitor. The monitor includes sensors for measuring from the patient at least one of the following vital-sign data: O2 saturation, blood pressure, ECG, respiratory rate, and blood glucose level. The system also includes a wireless transmitter, in electrical contact with the vital-sign monitor, that receives the vital-sign data and wirelessly transmits these data through a conventional wireless network. A gateway software piece then receives and processes the vital-sign data from the wireless network and stores these data in a database associated with a database software piece. The system also includes separate Internet-based user interfaces that display the vital sign data for: 1) individual users (e.g., a ‘patient interface’); and 2) groups of users (e.g., a ‘care-provider interface’) associated with a care-provider.
  • In one embodiment, the Internet-based user interface features a login functionality that analyzes input information (e.g., a login and password) and in response renders either the first or second interface.
  • The care-provider interface typically includes a numerical table that displays the vital-sign data associated with the plurality of patients (e.g., users). This interface can also display an ‘alert’ message associated with a user. For example, alert messages can be text messages with associated graphics that indicate a patient's status. To generate such alert messages, the system can include an application software piece that processes vital-sign data. To generate the alert message, the software piece can be an algorithm that compares the vital-sign data to a pre-determined level. Or the software piece can process multiple vital-sign data, or the patient's gender or age, to generate the alert message.
  • In other embodiments, the system further includes a first software component that transmits an electronic file, and the vital-sign monitor includes a second software component that receives the electronic file. In this case the Internet-based user interface includes a web page that sends an email, electronic message, or database-generated report, such as pre-determined file stored in the database, to a patient. The messages can be automatically sent following analysis of the vital-sign data.
  • In some embodiments, the first software component is configured to transmit data formatted in an XML-based format (e.g. an XML document). The XML-based format can be compatible with a second Internet-based software system. In particular, the XML-based format can integrate with a Web Services software system so that information can be sent from one web-based application to another. In other embodiments, the vital-sign monitor further includes a display that displays an email or electronic message received from the Internet. The second software component can be configured to receive and process wirelessly transmitted computer code. For example, the computer code can update the vital-sign monitor's existing computer code. Or it can function to load a schema into the monitor's memory, or modify its transmission properties (e.g., the frequency at which it transmits data, or the type of data that are transmitted).
  • In general, in still another aspect, the invention features a system for monitoring a patient that includes a vital-sign monitor integrated into a unit that is head-worn, wrist-worn or finger-worn. The monitor can include both wrist-worn and finger-worn components. The vital-sign monitor includes a sensor that measures data characterizing O2 saturation from the patient. Typically for the head-worn unit the data are measured from a region on the patient's head. The system also includes a global positioning system that determines location-based data. A processor, in wired or unwired electrical contact with the vital-sign monitor and the global positioning system, receives and processes the O2 saturation and location-based data to determine the patient's vital signs and location. The head-worn unit can also include a display or an earpiece using a text-to-speech controller to display or describe the vital signs. Such a device, for example, could be used during exercise (e.g., jogging).
  • In an embodiment, the head-worn unit is a pair of eyeglasses or sunglasses that features an optical sensor measuring O2 saturation from the patient's earlobe. The display is integrated into a transparent portion of the eyeglasses, or the earpiece can be integrated into the frames near the patient's ear. In either case, the patient is made aware of their O2 saturation and location-based data, and derivatives thereof, during exercise. The finger-worn unit can take the form of a finger ring.
  • In general, in still yet another aspect, the invention features a system for monitoring a patient that includes a blood-pressure monitor that measures O2 saturation data from the patient. A processor, in wired or unwired electrical contact with the monitor, receives and processes the O2 saturation data to determine blood pressure. A wireless transmitter receives the blood pressure data and transmits this information through a wireless network.
  • In general, in another aspect, the invention features a patient monitoring system that includes a blood-pressure monitor integrated into a finger or wrist-worn unit comprising a sensor that measures data characterizing O2 saturation and blood pressure from the patient. A processor, in wired or unwired electrical contact with the monitor, receives and processes the O2 saturation and blood pressure data. And a wireless transmitter receives the O2 saturation and blood pressure data from the processor and transmits these data through a wireless network.
  • In the above-described systems, the term ‘wireless network’ refers to a standard wireless communication network (e.g., CDMA networks provided by companies such as Sprint and Verizon; GSM/GPRS networks provided by ATT and Cingular; or wireless data networks such as the Mobitex or DataTac networks). These networks connect a wireless transmitter or a silicon-based chipset to the Internet-based software piece. Also in the above-described methods, the ‘measuring’ and ‘transmitting’ steps can be performed at any time and with any frequency, depending on the diagnoses being performed. The wireless network may also short-range wireless transmitters and receivers. These devices, for example, may use wireless protocols such as any version of 802.11 (e.g., 802.11b), Bluetooth™, or a short-range radio protocol.
  • The term ‘web page’ refers to a standard, single graphical user interface or ‘page’ that is hosted on the Internet or worldwide web. Web pages typically include: 1) a ‘graphical’ component for displaying a user interface (typically written in a computer language called ‘HTML’ or hypertext mark-up language); an ‘application’ component that produces functional applications, e.g. sorting and customer registration, for the graphical functions on the page (typically written in, e.g., C++ or java); and a database component that accesses a relational database (typically written in a database-specific language, e.g. SQL*Plus for Oracle databases). A ‘web site’ typically includes multiple web pages, many of which are ‘linked’ together, that are accessed through a series of ‘mouse clicks’.
  • Different embodiments of the invention include one or more of the following advantages. They allow one or more medical professionals to remotely analyze a large group of patients accurately and in real-time. Patients can measure their vital signs and subsequently have these data monitored by a medical professional located thousands of miles away. Data measured with high frequency (e.g., several times each day) provide a relatively comprehensive data set compared to that measured during medical appointments separated by several weeks or even months. This allows both the patient and medical professional to observe trends in the data, such as a gradual increase or decrease in a particular vital sign, which may indicate a medical condition. And they minimize effects of white coat syndrome since the patient can make measurements at home or work.
  • Diabetic patients can use at least some of the embodiments to wirelessly transmit their blood glucose level after each measurement, making it unnecessary to record these data in a logbook. Patients with Internet access can view data analyzed with a variety of algorithms. Similarly, parents can remotely view data measured by their children. During medical appointments professionals can view the data and adjust a patient's exercise and diet to better control their diabetes. A call center staffed by medical professionals can use the invention to constantly monitor patients, such as patients with severe cardiac conditions, and quickly respond in the case of emergency.
  • Ultimately various embodiments of the wireless, internet-based medical-diagnostic system described herein provide an in-depth, cost-effective mechanism to evaluate a patient's medical condition. Certain medical conditions can be controlled, and in some cases predicted, before they actually occur. Moreover, data from the patient can be collected and analyzed, often in a continuous manner, while the patient participates in their normal, day-to-day activities. This provides a relatively comprehensive diagnosis that is not possible using a conventional medical-diagnostic system.
  • An internet-based software system for medical diagnoses can also be easily updated and made available to a large group of users simply by updating software on the web site. In contrast, a comparable updating process for a series of in-hospital medical devices can only be accomplished by updating the software on each individual device. This, of course, is time-consuming, inefficient, and expensive, and introduces the possibility that many devices within a particular product line will not have the very latest software.
  • The device used to access and transmit the patient's data can be small, portable, and low-cost. Measurements are made in a matter of minutes and transmitted with a latency of a few seconds. A single device can also be used to measure and transmit data from multiple patients, provided it includes software and hardware that allows each patient to enter an identifying code that is, in turn, associated with their respective vital-sign data.
  • The resulting data, of course, have many uses for patients, medical professional, insurance companies, pharmaceutical agencies conducting clinical trials, and organizations for home-health monitoring.
  • These and other advantages of various embodiments of the invention are described in the following detailed disclosure and in the claims.
  • BRIEF DESCRIPTION OF DRAWINGS
  • The features and advantages of embodiments of the present invention can be understood by reference to the following detailed description taken with the drawings, in which:
  • FIG. 1 is a schematic drawing showing an internet-based medical-diagnostic system that transmits vital-sign data through a wireless network to an Internet-accessible host computer system;
  • FIG. 2 is a schematic drawing of the medical-diagnostic system of FIG. 1 featuring a vital-sign monitor, a GPS system, and a wireless-transmitting system;
  • FIG. 3 is a schematic drawing of the vital-sign monitor featured in the medical-diagnostic system of FIG. 2;
  • FIG. 4 is a schematic drawing of a web site that displays data from the medical-diagnostic system of FIG. 1 and features web pages associated with either a care-provider or patient interface;
  • FIG. 5 is a screen capture of a web page from the care-provider interface of FIG. 4 that shows a list of patients, each corresponding to a single care-provider, and their associated vital-sign data;
  • FIG. 6 is a screen capture of a web page from the care-provider interface of FIG. 5 that features a plot of a patient's time-dependent blood glucose level;
  • FIG. 7 is a screen capture of a portion of a web page from the care-provider interface of FIG. 5 that features an ECG and a mathematical function used to model the ECG; and
  • FIG. 8 is a screen capture from an Internet-based instant message transmitted by the medical-diagnostic system of FIG. 1.
  • DESCRIPTION OF THE PREFERRED EMBODIMENTS
  • FIG. 1 shows a schematic drawing of an Internet-based medical-diagnostic system 2. The system 2 features a vital-signs monitor 40 that measures vital-sign data from a patient 32 and wirelessly transmits these data over a wireless network 4 to a web site 6 accessible through the Internet 7. The system 2 functions in a bi-directional manner, i.e. the vital-sign monitor 40 can both send and receive data. In typical operation, for example, the vital-sign monitor 40 predominantly transmits vital-sign data through the wireless network 4 to the web site 6. Using the same network, the monitor 40 also receives text-based instant messages (described with reference to FIG. 8) and software upgrades to function in a bi-directional manner.
  • The vital-sign monitor 40 includes systems that measure, e.g., blood pressure, O2 saturation, ECGs, heart rate, respiratory rate, and blood glucose level. After these data are measured, software in the monitor 40 formats them into a data packet. The monitor radiates the packet to a base station 11 included in the wireless network 4. A host computer system 5 running a gateway software piece connects to the wireless network 4 and receives data packet from multiple vital-sign monitors. The host computer system 5, for example, may include multiple computers, software pieces, and other signal-processing and switching equipment, such as routers and digital signal processors. The wireless network 4 typically transfers data to the host computer system 5 using a TCP/IP-based connection, or with a dedicated digital leased line (e.g., a frame-relay circuit or a digital line running an X.25 protocol). The host computer system 5 also hosts the web site 6 using conventional computer hardware (e.g. computer servers for both a database and the web site) and software (e.g., web server and database software).
  • The patient 32 accesses a patient interface 14 hosted on the web site 6 through the Internet 7 from a secondary computer system 8. The patient interface 14 displays vital-sign data measured from a single patient. A call center 12, typically staffed with medical professionals such as doctors, nurses, or nurse practioners, accesses a care-provider interface 13 hosted on the website 6. The care-provider interface 13 displays vital-sign data from multiple patients. Both the patient and care-provider interfaces are described in more detail with references to FIGS. 4-8.
  • The vital-sign monitor 40 additionally includes a GPS system that receives GPS signals from a conventional GPS satellite system 24 and processes these signals to determine a location (more specifically the latitude, longitude, and altitude) of the monitor and, presumably, the patient. This location, for example, could be used to locate a patient during an emergency for purposes of dispatching an ambulance.
  • The appliance transmits separate data packets through the wireless network 11 that feature a ‘payload’ containing either the vital-sign data or the GPS-determined location. Typically these data are sent in separate packets, although they could be bundled into a single packet. The data packets additionally contain information of the packets' status, an address describing their destination, and an address describing their origin. These data packets are transmitted over conventional wireless network, such as a CDMA, GSM/GPSRS, Mobitex, or DataTac network. The specific network is associated with the wireless transmitter used by the monitor to transmit the data packet.
  • FIG. 2 shows a schematic drawing that describes the vital-sign monitor 40 in more detail. The monitor features a microprocessor module 46 that includes a computer microprocessor or microcontroller and multiple serial interfaces 47 a-c. The microprocessor module communicates with external devices using, for example, an RS-232 or other serial protocol operating over the serial interfaces 47 a-c. One serial interface 47 c communicates with the sensors for monitoring vital signs 50 described in more detail with reference to FIG. 3. Through this serial interface the microprocessor module 46 collects vital-sign data and formats it into a packet as described above.
  • The microprocessor module 46 collects GPS location-based data from a GPS receiver 48 through a second serial interface 47 b, also communicating with an RS-232 or other serial protocol. The GPS receiver 48 generates the location-based data by collecting GPS signals from orbiting GPS satellites using a GPS antenna 52. Both the GPS receiver 48 and the sensors for measuring vital signs 50 may continually and automatically send data across the respective serial ports 47 b, 47 c at a well-defined frequency (e.g., every second). Or they may only send data in response to a command sent by the microprocessor module 46.
  • Once the microprocessor module 46 collects vital-sign and location-based data, these data are formatted into separate packets and transmitting through a third serial interface 47 a to a radio modem 44. The radio modem 44 functions as a wireless transmitter that transmits data packets through an antenna 42 and over a wireless network. As described above, the wireless network chosen to transmit the data packets will dictate the type of wireless transmitter used in the monitor 40.
  • The microprocessor module 46 runs software and a data-collection ‘schema’ loaded into memory 49, such as a random-access memory. The schema is essentially a ‘map’ that describes: i) the type of data collected from the sensors for monitoring vital signs 50 and the GPS receiver 48; ii) the frequency that these data are collected; and iii) the frequency that these data are transmitted. A schema specific to a given set of sensors is typically loaded onto the memory 49 before the monitor is distributed to a patient. During operation, the vital-sign monitor collects vital-sign and location-based data defined by the schema, and transmits these data in packets as described above. The network transfers the data packet to the host computer system. There, the host computer system analyzes the data packet using a ‘map’ that corresponds to the schema to generate a data set. Every schema has a corresponding map. The map includes, for example, a list of the collected data, and an acronym and unit for each datum. The data set, acronym, and units are then displayed on the web site and are viewed by any ‘registered’ user (i.e., a patient or call center employee with a username and corresponding password) with Internet connectivity.
  • FIG. 3 shows the sensors for monitoring vital signs 50 in more detail. The sensors 50 feature a controller 60, such as a separate microprocessor or microcontroller, that interfaces to monitors for: i) O2 saturation 62; blood pressure 64; ECG 66; and respiratory rate 68. Each of these monitors is typically included in a single medical device 69 similar to that currently used in hospitals to characterize a patient's vital signs. In addition, the controller 60 communicates with a glucometer 70 using the same microprocessor or microcontroller. Typically the monitor includes a socket or plug to which the glucometer 70 connects. This way, a diabetic patient can carry and use the glucometer (which is typically portable) during day-to-day activities, and then attach this device to the monitor 40 at the end of the day. In contrast, the medical device 69 including the above-mentioned monitors is typically larger than a conventional glucometer, and is thus connected directly to the controller 60 at all times. Companies manufacturing medical devices including the monitors described in FIG. 3 include the following: Smith-BCI, Welch Allyn, Medtronic, Hewlett Packard, and Philips Medical. Similarly, companies manufacturing glucometers that may be used with the vital-sign monitor include Johnson & Johnson, Bayer and Roche.
  • FIG. 4 illustrates the concept of patient and care-provider interfaces in more detail. The figure shows a schematic drawing of a login process 74 for a web site 75 that displays vital-sign data for a series of ‘patients’ associated with a single ‘care provider’. Each patient is associated with a single vital-sign monitor. A user ‘logs’ into the web site 75 through a login interface 76 by entering a username and password that, once entered, are compared to a database associated with the web site. The comparison determines if the user is a patient or a care provider. If the user is determined to be a care provider, the web site renders a care-provider interface 77 that contains multiple web pages describing, e.g., vital-sign and location-based data for each patient associated, e.g., with a given hospital. Users viewing the care-provider interface 77 do not have access to data corresponding to patients associated with another care provider. If the user is determined to be a patient, the web site 75 renders a patient interface 78 that contains vital-sign and location-based data for the patient. Each patient using the web site 75 is associated with a unique patient interface 78 that renders following a login event. Note that patients sharing a single vital-sign monitor will only have access to their personal patient interface. In this case, the patient using the monitor needs to enter a code (e.g., an alphanumeric code) to log into the monitor. This code is then transmitted with the vital-sign and GPS-determined data. The host computer system processes the code to route these data to a section of the database corresponding specifically to the patient using the monitor.
  • FIG. 5 shows a screen capture of a web page 100 included in the care-provider interface referred to in FIG. 4. The web page 100 features a left-hand navigation bar 80 and a table 82 that lists vital-sign data for a group of patients associated with the call center. The table 82 includes unique fields for the patient's name, the age and location, and vital-sign medical data including: respiratory rate, O2 saturation, blood pressure, pulse rate, and temperature. The table also includes a field listing a time when the patient's data was last collected. As an example, the table 82 includes a row corresponding to a 35-year-old patient named Peter Townsend from San Diego, Calif. The patient's last reading, measured at 2:12 on May 27, 2001, yields the following vital-sign data:
    respiratory rate 20 breaths/minute
    O2 saturation 97%
    blood Pressure: 120 mm Hg/80 mm Hg
    pulse rate: 85 beats/minute
    temperature: 100.1 ° F.
  • According to the method described above, a call-center operator monitors these data by accessing the web page 100 through the Internet. After analyzing the data, the operator can use the web page 100 to access other data corresponding to the patient, such as their current medication using button 98, or their medical records using button 94. The operator can also search for a particular patient by entering their last name in a search field 90 and then clicking a ‘search’ button 91. Or the operator can register a new patient by clicking on a ‘Register Patient’ button 98 included in the left-hand navigation bar 80.
  • The call-center operator diagnoses the patient using the vital-sign data in a manner similar to protocols used during a conventional medical appointment. By using the above-described method, however, the operator can efficiently monitor hundreds of patients, each in a remote location, through the Internet. For example, following analysis, the operator may send the patient to a hospital, or may recommend a therapy to the patient using a telephone, email, or Internet-based instant message. Or if the patient's data looks normal the operator may deem the patient healthy and issue a clean bill of health.
  • Both the care-provider and patient interfaces may additionally include comprehensive displays of the patient's time-dependent vital-sign data. FIG. 6, for example, shows a web page 149 that includes a header field 150 that lists general information about the patient and recent measurements, a table 152 that lists measured vital signs and suggested values of the vital signs, and a graph 154 that plots the vital-sign data in a time-dependent manner. The header field 150 includes fields for the patient's name 164, a time/date stamp 166 corresponding to the time and GPS-determined location of the last reading, and a ‘Get Measurement’ button that if clicked remotely initiates a measurement by wirelessly sending a command to the vital-sign monitor. This command could: i) prompt the patient to make a new measurement; ii) automatically initiate a measurement if the vital-sign monitor is attached to the patient; or iii) retrieve vital-sign data stored in the monitor's memory. The header field also includes a series of tabs 160 that each list tables and graphs corresponding to a different vital sign.
  • For example, the web page 149 shown in FIG. 5 shows data corresponding to a patient's glucose level as measured with a glucometer and wirelessly transmitted as described above. The table 152 lists a series of data fields 161 that show running average values of the patient's daily, monthly, and yearly glucose levels. The levels are compared to a series of corresponding ‘suggested’ values that are extracted from a database associated with the web site. The table then calculates the difference between the running average and suggested values to give the patient an idea of how their data compares to that of a healthy patient.
  • The graph 154 shows a simple plot of the patient's glucose level vs. a time/date stamp corresponding to a particular measurement. These time-dependent data are then compared to the same suggested values (in this case 105 mg/dL) of glucose listed in the table 152. The graph 154 shows both the patient and call-center operator trends in the glucose level. These trends, for example, may be used to adjust the patient's diet, exercise level, or insulin dosage.
  • FIG. 7 shows another example of how vital-sign data measured from the patient and wirelessly transmitted through the wireless network to the Internet can be analyzed in a graphical form. In this case, the web page 154 shows a graph 170 of an ECG waveform 174 measured from the patient. The waveform 174 features a series of cardiac rhythms, shown in more detail in a window 176 on the web page, that indicate how the patient's heart is beating. The cardiac rhythms are measured by electrodes attached to the patient, and typically represent electrical measurements made at a frequency of approximately 100 to 120 samples/second. To display these data, the wireless medical device transmits a single packet containing a few seconds worth of data (i.e. a few hundred samples). Or the device may transmit several packets, each containing fewer samples. In this case the computer used by the web site for data analysis parses the packets and pieces together the data from the individual packets to form a single waveform. As shown in the window 176, the computer can also analyze a portion of the waveform by comparing it to a mathematical function (using, e.g., a least-squares ‘fitting’ algorithm), represented by a curve 180. The mathematical function, for example, may be used to analyze the ECG waveform in a more quantitative manner. For example, as shown in a table 176, the mathematical parameters used to generate the curve 180 may be compared to those used to generate a curve for analyzing a previous ECG waveform. This comparison yields a quantitative correlation to the earlier waveform, thereby allowing both the patient and the call-center operator to gauge the patient's time-dependent cardiac behavior. This comparison can also determine if the patient's cardiac response is normal or abnormal, as shown in the table 176.
  • Using the above-described system, following analysis of the vital-sign data a call-center operator may contact a patient to describe a potential medical problem. The operator may use a conventional telephone, or an Internet-based contact method such as an email or instant message. FIG. 8, for example, shows a screen capture of an instant message 200 transmitted from the call center to the patient's vital-sign monitor. Such an instant message 200 can be sent using a conventional instant message software program, such as that supplied by Yahoo™ or America OnLine™. The instant message can be sent to the patient's computer, cellular telephone, personal digital assistant, or a comparable device. It includes a header portion 202 that lists options for storing, editing, viewing, and formatting the message. And the message 200 features a text window 205 that lists a text message 204 sent from the call-center operator to the patient. The text message 204 also includes an Internet link 206 to the patient's web page that, when clicked, displays the pages described in FIGS. 4-7 above.
  • Other embodiments are also within the scope of the invention. In particular, the web pages used to display the data can take many different forms, as can the manner in which the data are displayed. Web pages are typically written in a computer language such as ‘HTML’ (hypertext mark-up language), and may also contain computer code written in languages such as java and javascript for performing certain functions (e.g., sorting of names). The web pages are also associated with database software (provided by companies such as Oracle and Microsoft) that is used to store and access data. Equivalent versions of these computer languages and software can also be used. In general, the graphical content and functionality of the web pages may vary substantially from what is shown in the above-described figures. In addition, web pages may also be formatted using standard wireless access protocols (WAP) so that they can be accessed using wireless devices such as cellular telephones, personal digital assistants (PDAs), and related devices.
  • Different web pages may be designed and accessed depending on the end-user. As described above, individual users have access to web pages that only their vital-sign data (i.e., the patient interface), while organizations that support a large number of patients (e.g. hospitals) have access to web pages that contain data from a group of patients (i.e., the care-provider interface). Other interfaces can also be used with the web site, such as interfaces used for: insurance companies, members of a particular company, clinical trials for pharmaceutical companies, and e-commerce purposes. Vital-sign data displayed on these web pages, for example, can be sorted and analyzed depending on the patient's medical history, age, sex, medical condition, and geographic location.
  • The web pages also support a wide range of algorithms that can be used to analyze data once it is extracted from the data packets. For example, the above-mentioned instant message or email can be sent out as an ‘alert’ in response to vitals signs indicating a medical condition that requires immediate attention. Alternatively, the message could be sent out when a data parameter (e.g. temperature) exceeded a predetermined value. In some cases, multiple parameters (e.g., O2 saturation, ECG waveform) can be analyzed simultaneously to generate an alert message. In general, an alert message can be sent out after analyzing one or more data parameters using any type of algorithm. These algorithms range from the relatively simple (e.g., comparing blood pressure to a recommended value) to the complex (e.g., predictive medical diagnoses using ‘data mining’ techniques). In some cases data may be ‘fit’ using algorithms such as a linear or non-linear least-squares fitting algorithm. In general, any algorithm that processes data collected with the above-described method is within the scope of the invention.
  • In other embodiments, additional hardware can be added to the medical device to modify its performance. For example, the radio modem used to transmit the data may employ a terrestrial GPS system, such as that available on modems designed by Qualcomm, Inc. In general, the wireless transmitter and general system described above can be used to transmit data generated with any medical device, including devices that measure or characterize cholesterol, coumadin levels, clotting factors, proteins or antibodies, illegal substances, or levels pharmaceutical compounds.
  • In certain embodiments, the wireless transmitter transmits blood pressure, heart rate, and O2 saturation information determined from a hand or finger-worn monitor. The blood pressure information may be determined from a finger-worn monitor that measures O2 saturation. In other embodiments, the monitor can be used to characterize a wide range of maladies, such as diabetes, congestive heart failure, sleep apnea and other sleep disorders, asthma, heart attack and other cardiac conditions, stroke, Alzheimer's disease, and hypertension.
  • In still other embodiments, the vital-sign monitor or components thereof and GPS electronics are integrated into other devices to perform the above-described measurements. For example, in one embodiment, the sensor for the pulse oximeter makes a measurement from the patient's earlobe and is integrated into a head-worn unit, e.g. a pair of eyeglasses or sunglasses. In this case, electronics that analyze the signals generated from the sensor can also be integrated into the head-worn unit (e.g., into the frames of the eyeglasses) or into a belt-worn module that, in turn, is attached to the head-worn unit using a wired or unwired (e.g., short-range wireless) connection. The belt-worn unit includes a controller and serial port that, respectively, analyze the data and download the data to an external computer. A display (e.g., a ‘head's up’ or holographic display) for displaying the vital-sign measurements can be integrated into the head-worn unit, e.g. into the transparent glass portion of the eyeglasses. In this way, for example, a patient can monitor his real-time vital signs during exercise or everyday activities. Alternatively, a text-to-speech controller can be used to describe the data in an audio manner to the patient.
  • The head-worn embodiment of the vital-sign monitor can also include memory that stores the measured vital signs and a GPS-determined location. This way, the location and vital-sign data can be downloaded to a computer through the serial port and viewed by the patient. This allows, for example, a patient to monitor his vital signs as a function of location or time. Such a device would be particularly useful for training purposes for athletes, e.g. marathon runners.
  • In a related embodiment, the sensor for the pulse oximeter takes the form of a finger ring or an adhesive patch and is connected to the belt-worn module as described above. The connection can be a wired or unwired connection.
  • Still other embodiments are within the scope of the following claims.

Claims (32)

1. A system for monitoring a patient, comprising:
a vital-sign monitor comprising sensors for measuring from the patient at least one of the following vital-sign data: O2 saturation, blood pressure, heart rate, electro-cardiogram, respiratory rate, temperature and blood glucose level;
a global positioning system for determining location-based data;
a wireless transmitter configured to receive the vital-sign and location-based data and wirelessly transmit these data through a wireless network;
a gateway software piece that receives and processes the vital-sign and location-based data from the wireless network;
a database software piece that communicates with the gateway software piece to receive the vital-sign and location-based data and stores them in a computer memory; and
an Internet-based user interface that displays the vital sign and location-based data.
2. The system of claim 1, wherein the Internet-based user interface comprises a login functionality that analyzes input information and in response renders either a first or second interface.
3. The system of claim 2, wherein the first interface is associated with a single entity, and the second interface is associated with a group of entities.
4. The system of claim 2, wherein the input information comprises a user login and a password.
5. The system of claim 2, wherein the second interface comprises a numerical table that displays the vital-sign and location-based data associated with the plurality of patients.
6. The system of claim 1, wherein the second interface comprises a web page that displays an alert message associated with a patient.
7. The system of claim 6, further comprising an application software piece that processes vital-sign data to generate the alert message.
8. The system of claim 7, wherein the application software piece comprises an algorithm that compares vital-sign data to a pre-determined level to generate the alert message.
9. The system of claim 6, wherein the system further comprises an application software piece configured to process multiple vital-sign data to generate the alert message.
10. The system of claim 9, wherein the application software piece processes vital-sign data and data associated with a patient's age to generate the alert message.
11. The system of claim 9, wherein the application software piece processes vital-sign data and data associated with a patient's gender to generate the alert message.
12. The system of claim 1, wherein the system further comprises a first software component that transmits an electronic file.
13. The system of claim 12, wherein the vital-sign monitor further comprises a second software component that receives the electronic file.
14. The system of claim 13, wherein the Internet-based user interface comprises a web page that sends an email or electronic message to a patient.
15. The system of claim 14, wherein the email or electronic message is a pre-determined message stored in the database component.
16. The system of claim 14, wherein the system automatically transmits the email or electronic message following analysis of the vital-sign and location-based data.
17. The system of claim 14, wherein the system automatically transmits a report.
18. The system of claim 17, wherein the database component is configured to generate the report.
19. The system of claim 12, wherein the first software component is configured to transmit data formatted in an XML-based format.
20. The system of claim 19, wherein the XML-based format is compatible with a second Internet-based software system.
21. The system of claim 13, wherein the vital-sign monitor further comprises a display that displays an email or electronic message received from the Internet.
22. The system of claim 13, wherein the second software component is configured to receive wirelessly transmitted computer code.
23. The system of claim 22, wherein the second software component processes the wirelessly transmitted computer code to update an existing computer code in the vital-sign monitor.
24. The system of claim 23, wherein the software component processes the wirelessly transmitted computer code to load a schema into the vital-sign monitor.
25. The system of claim 24, wherein the software component processes the wirelessly transmitted computer code to modify the vital-sign monitor's transmission properties.
26. The system of claim 25, where the software component processes the wirelessly transmitted computer code to modify the vital-sign monitor's transmission frequency.
27. The system of claim 24, wherein the software component processes the wirelessly transmitted computer code to modify the data transmitted by the vital-sign monitor.
28. A system for monitoring a patient, comprising:
a vital-sign monitor comprising:
sensors for measuring from the patient at least one of the following vital-sign data: O2 saturation, blood pressure, heart rate, electro-cardiogram, respiratory rate, temperature and blood glucose level;
a global positioning system that generates location-based data; and
a wireless component that transmits the vital-sign and location-based data and receives component code;
a wireless transmitter configured to receive the vital-sign and location-based data and wirelessly transmit these data through a wireless network;
a gateway software piece that receives and processes the vital-sign and location-based data from the wireless network;
a database software piece that communicates with the gateway software piece to receive the vital-sign and location-based data and stores them in a computer memory; and
an Internet-based user interface that displays the vital sign and location-based data and comprises a first interface that displays vital-sign and location-based data for a single patient and a second interface that displays vital sign and location-based data for a plurality of patients.
29. A system for monitoring a patient, comprising:
a vital-sign monitor comprising a sensor for measuring data characterizing O2 saturation from the patient;
a global positioning system for determining location-based data;
a wireless transmitter configured to receive the data and wirelessly transmit these data through a wireless network;
a gateway software piece that receives and processes the data from the wireless network;
a database software piece that communicates with the gateway software piece to receive the data and store them in a computer memory; and
an Internet-based user interface that displays the data and comprises a first interface that displays vital-sign and location-based data for a single patient and a second interface that displays vital-sign and location-based data for a plurality of patients.
30. A system for monitoring a patient, comprising:
a vital-sign monitor integrated into a finger-worn unit comprising a sensor that measures data characterizing O2 saturation from the patient;
a global positioning system for determining location-based data; and
a processor, in wired or unwired electrical contact with the vital-sign monitor and the global positioning system, that receives and processes the O2 saturation and location-based data.
31. A system for monitoring a patient, comprising:
a blood-pressure monitor that measures O2 saturation data from the patient;
a processor, in wired or unwired electrical contact with the monitor, that receives and processes the O2 saturation data to determine blood pressure; and
a wireless transmitter configured to receive blood pressure data and transmit this information through a wireless network.
32. A system for monitoring a patient, comprising:
a blood-pressure monitor integrated into a finger or wrist-worn unit comprising a sensor that measures data characterizing O2 saturation and blood pressure from the patient;
a processor, in wired or unwired electrical contact with the monitor, that receives and processes the O2 saturation and blood pressure data; and
a wireless transmitter configured to receive the O2 saturation and blood pressure data from the processor and transmit these data through a wireless network.
US10/752,198 2003-01-07 2004-01-06 Wireless, internet-based medical-diagnostic system Active 2025-05-01 US7396330B2 (en)

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US10/752,198 US7396330B2 (en) 2003-01-07 2004-01-06 Wireless, internet-based medical-diagnostic system
US10/906,665 US20050148882A1 (en) 2004-01-06 2005-03-01 Vital signs monitor used for conditioning a patient's response
US11/160,942 US7481772B2 (en) 2004-01-06 2005-07-15 Vital signs monitor used for conditioning a patient's response
US11/355,559 US20060142648A1 (en) 2003-01-07 2006-02-16 Wireless, internet-based, medical diagnostic system
US11/931,471 US20080103405A1 (en) 2003-01-07 2007-10-31 Wireless, internet-based, medical diagnostic system
US11/931,531 US20080097178A1 (en) 2003-01-07 2007-10-31 Wireless, internet-based, medical diagnostic system
US12/704,952 US20100168536A1 (en) 2003-01-07 2010-02-12 Wireless, internet-based, medical diagnostic system

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US10/906,665 US20050148882A1 (en) 2004-01-06 2005-03-01 Vital signs monitor used for conditioning a patient's response

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US11/355,559 Continuation US20060142648A1 (en) 2003-01-07 2006-02-16 Wireless, internet-based, medical diagnostic system
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Cited By (145)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040186365A1 (en) * 2002-12-31 2004-09-23 Therasense, Inc. Continuous glucose monitoring system and methods of use
US20040243005A1 (en) * 2003-05-29 2004-12-02 Rapps Gary M. Remote speaker microphone having vital sign monitoring capability
US20060247505A1 (en) * 2005-04-28 2006-11-02 Siddiqui Waqaas A Wireless sensor system
US20060247508A1 (en) * 2005-04-29 2006-11-02 Therasense, Inc. Method and apparatus for providing leak detection in data monitoring and management systems
US20060257834A1 (en) * 2005-05-10 2006-11-16 Lee Linda M Quantitative EEG as an identifier of learning modality
US20070055169A1 (en) * 2005-09-02 2007-03-08 Lee Michael J Device and method for sensing electrical activity in tissue
US20070066877A1 (en) * 2005-04-04 2007-03-22 Arnold Mark A Reagentless optical analyte detection system
WO2007040963A2 (en) * 2005-09-29 2007-04-12 Berkeley Heartlab, Inc. Internet-based system for monitoring blood test, vital sign, and exercise information from a patient
US20070100219A1 (en) * 2005-10-27 2007-05-03 Smiths Medical Pm, Inc. Single use pulse oximeter
US20070100218A1 (en) * 2005-10-27 2007-05-03 Smiths Medical Pm, Inc. Single use pulse oximeter
WO2007057646A1 (en) * 2005-11-17 2007-05-24 E-San Limited System and method for communicating environmentally-based medical advice
US20070123754A1 (en) * 2005-11-29 2007-05-31 Cuddihy Paul E Non-encumbering, substantially continuous patient daily activity data measurement for indication of patient condition change for access by remote caregiver
US20070149888A1 (en) * 2005-12-28 2007-06-28 General Electric Company Devices and methods for self-administered ecg examinations
US20070224619A1 (en) * 2003-05-27 2007-09-27 Berkeley Heartlab, Inc. Apolipoprotein E genotyping and accompanying internet-based health management system
US20070282186A1 (en) * 2006-05-02 2007-12-06 Adrian Gilmore Blood glucose monitor with an integrated data management system
US20070288266A1 (en) * 2006-06-02 2007-12-13 Suzanne Sysko System and methods for chronic disease management and health assessment
US20070299316A1 (en) * 2006-06-21 2007-12-27 Patrick Haslehurst System and method for remote medical device operation
US20080064937A1 (en) * 2006-06-07 2008-03-13 Abbott Diabetes Care, Inc. Analyte monitoring system and method
US20080082339A1 (en) * 2006-09-29 2008-04-03 Nellcor Puritan Bennett Incorporated System and method for secure voice identification in a medical device
US20080082659A1 (en) * 2006-10-02 2008-04-03 Patrick Haslehurst Method and system for analysis of medical data
US20080091094A1 (en) * 2001-01-02 2008-04-17 Abbott Diabetes Care, Inc. Analyte Monitoring Device And Methods Of Use
US20080139907A1 (en) * 1996-12-16 2008-06-12 Rao Raman K Intelligent personal health management appliances for the measurement and monitoring of health factors and controlled delivery of drugs
US20080172205A1 (en) * 2006-10-26 2008-07-17 Abbott Diabetes Care, Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US20080200791A1 (en) * 2006-10-04 2008-08-21 Dexcom, Inc. Analyte sensor
US20080214902A1 (en) * 2007-03-02 2008-09-04 Lee Hans C Apparatus and Method for Objectively Determining Human Response to Media
WO2008106645A2 (en) * 2007-03-01 2008-09-04 Abbott Diabetes Care, Inc. Method and apparatus for providing rolling data in communication systems
US20080221400A1 (en) * 2007-03-08 2008-09-11 Lee Hans C Method and system for measuring and ranking an "engagement" response to audiovisual or interactive media, products, or activities using physiological signals
US20080221472A1 (en) * 2007-03-07 2008-09-11 Lee Hans C Method and system for measuring and ranking a positive or negative response to audiovisual or interactive media, products or activities using physiological signals
US20080222670A1 (en) * 2007-03-07 2008-09-11 Lee Hans C Method and system for using coherence of biological responses as a measure of performance of a media
US20080221969A1 (en) * 2007-03-07 2008-09-11 Emsense Corporation Method And System For Measuring And Ranking A "Thought" Response To Audiovisual Or Interactive Media, Products Or Activities Using Physiological Signals
US20080222671A1 (en) * 2007-03-08 2008-09-11 Lee Hans C Method and system for rating media and events in media based on physiological data
WO2008127265A1 (en) * 2006-07-27 2008-10-23 Guardid Systems Secure web site authentication using web site characteristics, secure user credentials and private browser
US20080281840A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US20080278333A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US20080281298A1 (en) * 2005-02-07 2008-11-13 Andersen David R Electronic support system for biological data sensor
US20080306770A1 (en) * 2007-02-22 2008-12-11 Sysko Ryan A Systems and methods for disease control and management
US20090054749A1 (en) * 2006-05-31 2009-02-26 Abbott Diabetes Care, Inc. Method and System for Providing Data Transmission in a Data Management System
US20090054747A1 (en) * 2005-10-31 2009-02-26 Abbott Diabetes Care, Inc. Method and system for providing analyte sensor tester isolation
US20090069649A1 (en) * 2006-10-25 2009-03-12 Abbott Diabetes Care, Inc. Method and System for Providing Analyte Monitoring
US20090069652A1 (en) * 2007-09-07 2009-03-12 Lee Hans C Method and Apparatus for Sensing Blood Oxygen
US20090070798A1 (en) * 2007-03-02 2009-03-12 Lee Hans C System and Method for Detecting Viewer Attention to Media Delivery Devices
US20090094627A1 (en) * 2007-10-02 2009-04-09 Lee Hans C Providing Remote Access to Media, and Reaction and Survey Data From Viewers of the Media
US20090105571A1 (en) * 2006-06-30 2009-04-23 Abbott Diabetes Care, Inc. Method and System for Providing Data Communication in Data Management Systems
WO2009059248A1 (en) * 2007-10-31 2009-05-07 Emsense Corporation Systems and methods providing distributed collection and centralized processing of physiological responses from viewers
US20090131777A1 (en) * 2006-10-04 2009-05-21 Dexcom, Inc. Analyte sensor
US20090137886A1 (en) * 2006-10-04 2009-05-28 Dexcom, Inc. Analyte sensor
US20090137887A1 (en) * 2006-10-04 2009-05-28 Dexcom, Inc. Analyte sensor
US20090150919A1 (en) * 2007-11-30 2009-06-11 Lee Michael J Correlating Media Instance Information With Physiological Responses From Participating Subjects
US20090171175A1 (en) * 2007-12-31 2009-07-02 Nellcor Puritan Bennett Llc Personalized Medical Monitoring: Auto-Configuration Using Patient Record Information
US20090171170A1 (en) * 2007-12-28 2009-07-02 Nellcor Puritan Bennett Llc Medical Monitoring With Portable Electronic Device System And Method
US20090178459A1 (en) * 2003-08-01 2009-07-16 Dexcom, Inc. Analyte sensor
US20090205042A1 (en) * 2005-12-15 2009-08-13 Koninklijke Philips Electronics, N.V. External user interface based measurement association
US20090204668A1 (en) * 2008-02-12 2009-08-13 Sydney Furan Huang System and process for distant pulse diagnosis
WO2009105709A1 (en) * 2008-02-21 2009-08-27 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US20090216096A1 (en) * 2007-12-31 2009-08-27 Nellcor Puritan Bennett Llc Method and apparatus to determine skin sterol levels
US20090216101A1 (en) * 1998-04-30 2009-08-27 Abbott Diabetes Care, Inc. Analyte Monitoring Device and Methods of Use
US20090216090A1 (en) * 2008-02-26 2009-08-27 Sinbon Electronics Company Ltd. Household health monitoring system
US20090221882A1 (en) * 2005-12-08 2009-09-03 Dan Gur Furman Implantable Biosensor Assembly and Health Monitoring system and Method including same
US20090253996A1 (en) * 2007-03-02 2009-10-08 Lee Michael J Integrated Sensor Headset
JP2009539445A (en) * 2006-06-07 2009-11-19 ガンブロ・ルンディア・エービー Prediction of rapid symptomatic blood pressure drop
US20090318792A1 (en) * 2007-05-08 2009-12-24 Fennell Martin J Analyte Monitoring System and Methods
US20090326340A1 (en) * 2008-06-30 2009-12-31 Hui Wang Patient Monitor Alarm System And Method
US20100014626A1 (en) * 2007-05-08 2010-01-21 Fennell Martin J Method And Device For Determining Elapsed Sensor Life
US20100022908A1 (en) * 2003-12-19 2010-01-28 Board Of Regents, The University Of Texas System System and Method for Interfacing Cellular Matter with a Machine
US20100045231A1 (en) * 2006-03-31 2010-02-25 Abbott Diabetes Care Inc. Method and System for Powering an Electronic Device
US20100081891A1 (en) * 2008-09-30 2010-04-01 Nellcor Puritan Bennett Llc System And Method For Displaying Detailed Information For A Data Point
US20100081909A1 (en) * 2008-09-30 2010-04-01 Abbott Diabetes Care, Inc. Optimizing Analyte Sensor Calibration
US20100121167A1 (en) * 2008-11-10 2010-05-13 Abbott Diabetes Care Inc. Alarm Characterization for Analyte Monitoring Devices and Systems
WO2010056891A1 (en) * 2008-11-13 2010-05-20 Wms Gaming, Inc. Communicating in-casino emergency notifications
US20100185398A1 (en) * 2009-01-22 2010-07-22 Under Armour, Inc. System and Method for Monitoring Athletic Performance
US20100191085A1 (en) * 2009-01-29 2010-07-29 Abbott Diabetes Care, Inc. Method and Device for Providing Offset Model Based Calibration for Analyte Sensor
US7766829B2 (en) 2005-11-04 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US20100275108A1 (en) * 2009-04-28 2010-10-28 Abbott Diabetes Care Inc. Error Detection in Critical Repeating Data in a Wireless Sensor System
US20110046469A1 (en) * 2003-06-10 2011-02-24 Abbott Diabetes Care Inc. Glucose Measuring Device for Use In Personal Area Network
US20110046519A1 (en) * 2009-08-21 2011-02-24 Fazal Raheman Prescription Zero: A non-pharmaceutical prescription device for prescribing, administering, monitoring, measuring and motivating a therapeutic lifestyle regimen for prevention and treatment of chronic diseases
US20110077494A1 (en) * 2009-09-29 2011-03-31 Abbott Diabetes Care Inc. Method and Apparatus for Providing Notification Function in Analyte Monitoring Systems
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US20110118557A1 (en) * 2009-11-18 2011-05-19 Nellcor Purifan Bennett LLC Intelligent User Interface For Medical Monitors
US20110124996A1 (en) * 2009-11-20 2011-05-26 Roche Diagnostics Operations, Inc. Diabetes health management systems and methods
US7976778B2 (en) 2001-04-02 2011-07-12 Abbott Diabetes Care Inc. Blood glucose tracking apparatus
US20110225008A1 (en) * 2010-03-09 2011-09-15 Respira Dv, Llc Self-Similar Medical Communications System
US8103456B2 (en) 2009-01-29 2012-01-24 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US8185181B2 (en) 2009-10-30 2012-05-22 Abbott Diabetes Care Inc. Method and apparatus for detecting false hypoglycemic conditions
US8216138B1 (en) 2007-10-23 2012-07-10 Abbott Diabetes Care Inc. Correlation of alternative site blood and interstitial fluid glucose concentrations to venous glucose concentration
US8226891B2 (en) 2006-03-31 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US8287454B2 (en) 1998-04-30 2012-10-16 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8347326B2 (en) 2007-12-18 2013-01-01 The Nielsen Company (US) Identifying key media events and modeling causal relationships between key events and reported feelings
US8425416B2 (en) 2006-10-04 2013-04-23 Dexcom, Inc. Analyte sensor
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8583205B2 (en) 2008-03-28 2013-11-12 Abbott Diabetes Care Inc. Analyte sensor calibration management
US8601005B2 (en) 2011-05-27 2013-12-03 Roche Diagnostics Operations, Inc. Location enabled food database
US20130332196A1 (en) * 2012-06-07 2013-12-12 The Government Of The United States As Represented By The Secretary Of The Army Diabetes Monitoring Using Smart Device
US8612159B2 (en) 1998-04-30 2013-12-17 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8635046B2 (en) 2010-06-23 2014-01-21 Abbott Diabetes Care Inc. Method and system for evaluating analyte sensor response characteristics
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8715177B2 (en) * 2000-10-06 2014-05-06 Ip Holdings, Inc. Intelligent drug delivery appliance
US8732188B2 (en) 2007-02-18 2014-05-20 Abbott Diabetes Care Inc. Method and system for providing contextual based medication dosage determination
US8771183B2 (en) 2004-02-17 2014-07-08 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US8870791B2 (en) 2006-03-23 2014-10-28 Michael E. Sabatino Apparatus for acquiring, processing and transmitting physiological sounds
US8930203B2 (en) 2007-02-18 2015-01-06 Abbott Diabetes Care Inc. Multi-function analyte test device and methods therefor
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8989835B2 (en) 2012-08-17 2015-03-24 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
WO2015042487A1 (en) * 2013-09-19 2015-03-26 Booth Jean Anne Assist device and system
US8993331B2 (en) 2009-08-31 2015-03-31 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US8998829B1 (en) * 2009-09-18 2015-04-07 Orthocare Innovations Llc System to assess amputee patient function
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US20150350749A1 (en) * 2014-05-30 2015-12-03 David Andrew PYBUS Acute Care Display System
DE102014008684A1 (en) * 2014-06-13 2016-01-07 Personal Medsystems Gmbh INTELLIGENT ELECTRODE
CN105250090A (en) * 2015-11-16 2016-01-20 华北理工大学 Intelligent care bed for ICU
US9314195B2 (en) 2009-08-31 2016-04-19 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US9320450B2 (en) 2013-03-14 2016-04-26 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US9326709B2 (en) 2010-03-10 2016-05-03 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels
US9474475B1 (en) 2013-03-15 2016-10-25 Abbott Diabetes Care Inc. Multi-rate analyte sensor data collection with sample rate configurable signal processing
US9622702B2 (en) 2014-04-03 2017-04-18 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US9622691B2 (en) 2011-10-31 2017-04-18 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
US9675290B2 (en) 2012-10-30 2017-06-13 Abbott Diabetes Care Inc. Sensitivity calibration of in vivo sensors used to measure analyte concentration
WO2017173434A1 (en) * 2016-04-02 2017-10-05 Peabody Steven R Medical diagnostic device, system, and method of use
US9788735B2 (en) 2002-03-25 2017-10-17 Masimo Corporation Body worn mobile medical patient monitor
US9907492B2 (en) 2012-09-26 2018-03-06 Abbott Diabetes Care Inc. Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
US9968306B2 (en) 2012-09-17 2018-05-15 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
US9980669B2 (en) 2011-11-07 2018-05-29 Abbott Diabetes Care Inc. Analyte monitoring device and methods
US20180182492A1 (en) * 2015-08-21 2018-06-28 Omron Healthcare Co., Ltd. Diagnosis assistance apparatus, diagnosis assistance method, diagnosis assistance program, bodily information measurement apparatus
US10076285B2 (en) 2013-03-15 2018-09-18 Abbott Diabetes Care Inc. Sensor fault detection using analyte sensor data pattern comparison
US10092229B2 (en) 2010-06-29 2018-10-09 Abbott Diabetes Care Inc. Calibration of analyte measurement system
US10188794B2 (en) 2008-08-31 2019-01-29 Abbott Diabetes Care Inc. Closed loop control and signal attenuation detection
US10194850B2 (en) 2005-08-31 2019-02-05 Abbott Diabetes Care Inc. Accuracy of continuous glucose sensors
CN109831923A (en) * 2016-09-28 2019-05-31 公益财团法人神户医疗产业都市推进机构 Dementia, which is situated between, protects burden degree judgment means, dementia Jie's shield burden degree judgment method, dementia Jie shield burden degree determining program, dementia therapeutic effect judgment means, dementia therapeutic effect judgment method, dementia therapeutic effect determining program
US10433773B1 (en) 2013-03-15 2019-10-08 Abbott Diabetes Care Inc. Noise rejection methods and apparatus for sparsely sampled analyte sensor data
US10555695B2 (en) 2011-04-15 2020-02-11 Dexcom, Inc. Advanced analyte sensor calibration and error detection
CN110801205A (en) * 2019-11-18 2020-02-18 陈兖清 Human body data monitoring method based on Internet technology
US10646144B2 (en) 2015-12-07 2020-05-12 Marcelo Malini Lamego Wireless, disposable, extended use pulse oximeter apparatus and methods
US10659963B1 (en) 2018-02-12 2020-05-19 True Wearables, Inc. Single use medical device apparatus and methods
US10685749B2 (en) 2007-12-19 2020-06-16 Abbott Diabetes Care Inc. Insulin delivery apparatuses capable of bluetooth data transmission
US10687193B2 (en) 2013-09-19 2020-06-16 Unaliwear, Inc. Assist device and system
US10846607B2 (en) 2007-02-22 2020-11-24 WellDoc, Inc. Adaptive analytical behavioral and health assistant system and related method of use
US10872686B2 (en) 2007-02-22 2020-12-22 WellDoc, Inc. Systems and methods for disease control and management
US11000215B1 (en) 2003-12-05 2021-05-11 Dexcom, Inc. Analyte sensor
US11331022B2 (en) 2017-10-24 2022-05-17 Dexcom, Inc. Pre-connected analyte sensors
US11350862B2 (en) 2017-10-24 2022-06-07 Dexcom, Inc. Pre-connected analyte sensors
US11382539B2 (en) 2006-10-04 2022-07-12 Dexcom, Inc. Analyte sensor
US11694797B2 (en) 2012-10-30 2023-07-04 Neil S. Davey Virtual healthcare communication platform
US11717225B2 (en) 2014-03-30 2023-08-08 Abbott Diabetes Care Inc. Method and apparatus for determining meal start and peak events in analyte monitoring systems
US11793936B2 (en) 2009-05-29 2023-10-24 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
US11954273B2 (en) 2023-04-17 2024-04-09 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels

Families Citing this family (198)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7552039B2 (en) * 1999-10-15 2009-06-23 Hemopet Method for sample processing and integrated reporting of dog health diagnosis
US8460243B2 (en) 2003-06-10 2013-06-11 Abbott Diabetes Care Inc. Glucose measuring module and insulin pump combination
US7722536B2 (en) 2003-07-15 2010-05-25 Abbott Diabetes Care Inc. Glucose measuring device integrated into a holster for a personal area network device
CA2572455C (en) 2004-06-04 2014-10-28 Therasense, Inc. Diabetes care host-client architecture and data management system
US9198608B2 (en) 2005-04-28 2015-12-01 Proteus Digital Health, Inc. Communication system incorporated in a container
CA2789262C (en) 2005-04-28 2016-10-04 Proteus Digital Health, Inc. Pharma-informatics system
US8836513B2 (en) 2006-04-28 2014-09-16 Proteus Digital Health, Inc. Communication system incorporated in an ingestible product
US8912908B2 (en) 2005-04-28 2014-12-16 Proteus Digital Health, Inc. Communication system with remote activation
US8730031B2 (en) 2005-04-28 2014-05-20 Proteus Digital Health, Inc. Communication system using an implantable device
US8802183B2 (en) 2005-04-28 2014-08-12 Proteus Digital Health, Inc. Communication system with enhanced partial power source and method of manufacturing same
WO2007028035A2 (en) 2005-09-01 2007-03-08 Proteus Biomedical, Inc. Implantable zero-wire communications system
IL185609A0 (en) * 2007-08-30 2008-01-06 Dan Furman Multi function senssor
US20070255115A1 (en) * 2006-04-27 2007-11-01 Anglin Richard L Jr Remote diagnostic & treatment system
US20070255126A1 (en) * 2006-04-28 2007-11-01 Moberg Sheldon B Data communication in networked fluid infusion systems
US20070253021A1 (en) * 2006-04-28 2007-11-01 Medtronic Minimed, Inc. Identification of devices in a medical device network and wireless data communication techniques utilizing device identifiers
US8073008B2 (en) 2006-04-28 2011-12-06 Medtronic Minimed, Inc. Subnetwork synchronization and variable transmit synchronization techniques for a wireless medical device network
US20070258395A1 (en) * 2006-04-28 2007-11-08 Medtronic Minimed, Inc. Wireless data communication protocols for a medical device network
US20070255125A1 (en) 2006-04-28 2007-11-01 Moberg Sheldon B Monitor devices for networked fluid infusion systems
KR101568660B1 (en) 2006-05-02 2015-11-12 프로테우스 디지털 헬스, 인코포레이티드 Patient customized therapeutic regimens
US20080076969A1 (en) * 2006-08-29 2008-03-27 Ulrich Kraft Methods for modifying control software of electronic medical devices
US8054140B2 (en) 2006-10-17 2011-11-08 Proteus Biomedical, Inc. Low voltage oscillator for medical devices
MY158019A (en) 2006-10-25 2016-08-30 Proteus Digital Health Inc Controlled activation ingestible identifier
US8718193B2 (en) 2006-11-20 2014-05-06 Proteus Digital Health, Inc. Active signal processing personal health signal receivers
JP5524626B2 (en) 2007-02-01 2014-06-18 プロテウス デジタル ヘルス, インコーポレイテッド Ingestible event marker system
CN103066226B (en) 2007-02-14 2016-09-14 普罗透斯数字保健公司 There is the in-body power source of high surface area electrode
US8932221B2 (en) 2007-03-09 2015-01-13 Proteus Digital Health, Inc. In-body device having a multi-directional transmitter
US9270025B2 (en) 2007-03-09 2016-02-23 Proteus Digital Health, Inc. In-body device having deployable antenna
US20080281165A1 (en) * 2007-05-09 2008-11-13 Raghu Rai system and method for acquiring and transferring data to a remote server
US8115618B2 (en) 2007-05-24 2012-02-14 Proteus Biomedical, Inc. RFID antenna for in-body device
FI2192946T3 (en) 2007-09-25 2022-11-30 In-body device with virtual dipole signal amplification
US8313467B2 (en) 2007-12-27 2012-11-20 Medtronic Minimed, Inc. Reservoir pressure equalization systems and methods
CN104376659B (en) 2008-03-05 2019-10-25 普罗透斯数字保健公司 The ingestible event flag of multi-modal communications and system, and the method using it
ES2696984T3 (en) 2008-07-08 2019-01-21 Proteus Digital Health Inc Ingestion event marker data infrastructure
CN104382598A (en) 2008-08-13 2015-03-04 普罗透斯数字保健公司 Method of producing a recognizer
US8036748B2 (en) 2008-11-13 2011-10-11 Proteus Biomedical, Inc. Ingestible therapy activator system and method
CA2746650A1 (en) 2008-12-11 2010-06-17 Proteus Biomedical, Inc. Evaluation of gastrointestinal function using portable electroviscerography systems and methods of using the same
US9659423B2 (en) 2008-12-15 2017-05-23 Proteus Digital Health, Inc. Personal authentication apparatus system and method
TWI424832B (en) 2008-12-15 2014-02-01 Proteus Digital Health Inc Body-associated receiver and method
US9439566B2 (en) 2008-12-15 2016-09-13 Proteus Digital Health, Inc. Re-wearable wireless device
CN102341031A (en) 2009-01-06 2012-02-01 普罗秋斯生物医学公司 Ingestion-related biofeedback and personalized medical therapy method and system
JP5785097B2 (en) 2009-01-06 2015-09-24 プロテウス デジタル ヘルス, インコーポレイテッド Pharmaceutical dosage delivery system
US20100305412A1 (en) * 2009-03-23 2010-12-02 Darrah Mark I Device and system for wireless monitoring of the vital signs of patients
WO2010111403A2 (en) 2009-03-25 2010-09-30 Proteus Biomedical, Inc. Probablistic pharmacokinetic and pharmacodynamic modeling
NZ619375A (en) 2009-04-28 2015-03-27 Proteus Digital Health Inc Highly reliable ingestible event markers and methods for using the same
US20100279418A1 (en) * 2009-05-04 2010-11-04 Loren Robert Larson Glucose meter adaptable for use with handheld devices, and associated communication network
WO2010132331A2 (en) 2009-05-12 2010-11-18 Proteus Biomedical, Inc. Ingestible event markers comprising an ingestible component
US8344847B2 (en) 2009-07-09 2013-01-01 Medtronic Minimed, Inc. Coordination of control commands in a medical device system having at least one therapy delivery device and at least one wireless controller device
EP2467811A4 (en) 2009-08-17 2014-04-30 Zin Technologies Inc Method and system for monitoring and managing patient care
US8558563B2 (en) 2009-08-21 2013-10-15 Proteus Digital Health, Inc. Apparatus and method for measuring biochemical parameters
US8487758B2 (en) 2009-09-02 2013-07-16 Medtronic Minimed, Inc. Medical device having an intelligent alerting scheme, and related operating methods
US8386042B2 (en) 2009-11-03 2013-02-26 Medtronic Minimed, Inc. Omnidirectional accelerometer device and medical device incorporating same
TWI517050B (en) 2009-11-04 2016-01-11 普羅托斯數位健康公司 System for supply chain management
UA109424C2 (en) 2009-12-02 2015-08-25 PHARMACEUTICAL PRODUCT, PHARMACEUTICAL TABLE WITH ELECTRONIC MARKER AND METHOD OF MANUFACTURING PHARMACEUTICAL TABLETS
US8574201B2 (en) 2009-12-22 2013-11-05 Medtronic Minimed, Inc. Syringe piston with check valve seal
US8755269B2 (en) 2009-12-23 2014-06-17 Medtronic Minimed, Inc. Ranking and switching of wireless channels in a body area network of medical devices
EP2531099B1 (en) 2010-02-01 2018-12-12 Proteus Digital Health, Inc. Data gathering system
US10206570B2 (en) * 2010-02-28 2019-02-19 Covidien Lp Adaptive wireless body networks
RU2012143791A (en) 2010-04-07 2014-05-20 Проутьюс Диджитал Хэлс, Инк. MINIATURE INGESTED DEVICE
TWI557672B (en) 2010-05-19 2016-11-11 波提亞斯數位康健公司 Computer system and computer-implemented method to track medication from manufacturer to a patient, apparatus and method for confirming delivery of medication to a patient, patient interface device
US8562565B2 (en) 2010-10-15 2013-10-22 Medtronic Minimed, Inc. Battery shock absorber for a portable medical device
US8603032B2 (en) 2010-10-15 2013-12-10 Medtronic Minimed, Inc. Medical device with membrane keypad sealing element, and related manufacturing method
US8603033B2 (en) 2010-10-15 2013-12-10 Medtronic Minimed, Inc. Medical device and related assembly having an offset element for a piezoelectric speaker
US20120094600A1 (en) 2010-10-19 2012-04-19 Welch Allyn, Inc. Platform for patient monitoring
US8479595B2 (en) 2010-10-20 2013-07-09 Medtronic Minimed, Inc. Sensor assembly and medical device incorporating same
US8474332B2 (en) 2010-10-20 2013-07-02 Medtronic Minimed, Inc. Sensor assembly and medical device incorporating same
US8495918B2 (en) 2010-10-20 2013-07-30 Medtronic Minimed, Inc. Sensor assembly and medical device incorporating same
JP2014504902A (en) 2010-11-22 2014-02-27 プロテウス デジタル ヘルス, インコーポレイテッド Ingestible device with medicinal product
AU2011343589B2 (en) 2010-12-16 2017-02-23 Scion NeuroStim, Inc. Systems, methods and apparatus for delivering nerve stimulation to a patient with physician oversight
US8628510B2 (en) 2010-12-22 2014-01-14 Medtronic Minimed, Inc. Monitoring the operating health of a force sensor in a fluid infusion device
US8690855B2 (en) 2010-12-22 2014-04-08 Medtronic Minimed, Inc. Fluid reservoir seating procedure for a fluid infusion device
US8469942B2 (en) 2010-12-22 2013-06-25 Medtronic Minimed, Inc. Occlusion detection for a fluid infusion device
US8197444B1 (en) 2010-12-22 2012-06-12 Medtronic Minimed, Inc. Monitoring the seating status of a fluid reservoir in a fluid infusion device
US9463309B2 (en) 2011-02-22 2016-10-11 Medtronic Minimed, Inc. Sealing assembly and structure for a fluid infusion device having a needled fluid reservoir
US8945068B2 (en) 2011-02-22 2015-02-03 Medtronic Minimed, Inc. Fluid reservoir having a fluid delivery needle for a fluid infusion device
US9283318B2 (en) 2011-02-22 2016-03-15 Medtronic Minimed, Inc. Flanged sealing element and needle guide pin assembly for a fluid infusion device having a needled fluid reservoir
US9393399B2 (en) 2011-02-22 2016-07-19 Medtronic Minimed, Inc. Sealing assembly for a fluid reservoir of a fluid infusion device
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
US8614596B2 (en) 2011-02-28 2013-12-24 Medtronic Minimed, Inc. Systems and methods for initializing a voltage bus and medical devices incorporating same
US9101305B2 (en) 2011-03-09 2015-08-11 Medtronic Minimed, Inc. Glucose sensor product and related manufacturing and packaging methods
US9439599B2 (en) 2011-03-11 2016-09-13 Proteus Digital Health, Inc. Wearable personal body associated device with various physical configurations
US9018893B2 (en) 2011-03-18 2015-04-28 Medtronic Minimed, Inc. Power control techniques for an electronic device
US8564447B2 (en) 2011-03-18 2013-10-22 Medtronic Minimed, Inc. Battery life indication techniques for an electronic device
US8771186B2 (en) 2011-05-17 2014-07-08 Welch Allyn, Inc. Device configuration for supporting a patient oxygenation test
US9756874B2 (en) 2011-07-11 2017-09-12 Proteus Digital Health, Inc. Masticable ingestible product and communication system therefor
WO2015112603A1 (en) 2014-01-21 2015-07-30 Proteus Digital Health, Inc. Masticable ingestible product and communication system therefor
IN2014MN00183A (en) 2011-07-21 2015-06-19 Proteus Digital Health Inc
US8774909B2 (en) 2011-09-26 2014-07-08 Medtronic, Inc. Episode classifier algorithm
US8437840B2 (en) 2011-09-26 2013-05-07 Medtronic, Inc. Episode classifier algorithm
US9235683B2 (en) 2011-11-09 2016-01-12 Proteus Digital Health, Inc. Apparatus, system, and method for managing adherence to a regimen
US9610401B2 (en) 2012-01-13 2017-04-04 Medtronic Minimed, Inc. Infusion set component with modular fluid channel element
US10149616B2 (en) 2012-02-09 2018-12-11 Masimo Corporation Wireless patient monitoring device
US10307111B2 (en) 2012-02-09 2019-06-04 Masimo Corporation Patient position detection system
US8603027B2 (en) 2012-03-20 2013-12-10 Medtronic Minimed, Inc. Occlusion detection using pulse-width modulation and medical device incorporating same
US8523803B1 (en) 2012-03-20 2013-09-03 Medtronic Minimed, Inc. Motor health monitoring and medical device incorporating same
US8603026B2 (en) 2012-03-20 2013-12-10 Medtronic Minimed, Inc. Dynamic pulse-width modulation motor control and medical device incorporating same
US8874379B2 (en) 2012-04-05 2014-10-28 Welch Allyn, Inc. Central station integration of patient data
US9681836B2 (en) 2012-04-23 2017-06-20 Cyberonics, Inc. Methods, systems and apparatuses for detecting seizure and non-seizure states
US10391242B2 (en) 2012-06-07 2019-08-27 Medtronic Minimed, Inc. Diabetes therapy management system for recommending bolus calculator adjustments
US9333292B2 (en) 2012-06-26 2016-05-10 Medtronic Minimed, Inc. Mechanically actuated fluid infusion device
KR20150038038A (en) 2012-07-23 2015-04-08 프로테우스 디지털 헬스, 인코포레이티드 Techniques for manufacturing ingestible event markers comprising an ingestible component
US8808269B2 (en) 2012-08-21 2014-08-19 Medtronic Minimed, Inc. Reservoir plunger position monitoring and medical device incorporating same
US10496797B2 (en) 2012-08-30 2019-12-03 Medtronic Minimed, Inc. Blood glucose validation for a closed-loop operating mode of an insulin infusion system
US20140066884A1 (en) 2012-08-30 2014-03-06 Medtronic Minimed, Inc. Sensor model supervisor for a closed-loop insulin infusion system
US9623179B2 (en) 2012-08-30 2017-04-18 Medtronic Minimed, Inc. Safeguarding techniques for a closed-loop insulin infusion system
US9849239B2 (en) 2012-08-30 2017-12-26 Medtronic Minimed, Inc. Generation and application of an insulin limit for a closed-loop operating mode of an insulin infusion system
US10130767B2 (en) 2012-08-30 2018-11-20 Medtronic Minimed, Inc. Sensor model supervisor for a closed-loop insulin infusion system
US9878096B2 (en) 2012-08-30 2018-01-30 Medtronic Minimed, Inc. Generation of target glucose values for a closed-loop operating mode of an insulin infusion system
US9662445B2 (en) 2012-08-30 2017-05-30 Medtronic Minimed, Inc. Regulating entry into a closed-loop operating mode of an insulin infusion system
DK2910013T3 (en) 2012-10-18 2018-08-06 Proteus Digital Health Inc Apparatus, system and method for adaptive optimization for power output and transmit power in a power source for a communication device
US8870818B2 (en) 2012-11-15 2014-10-28 Medtronic Minimed, Inc. Systems and methods for alignment and detection of a consumable component
US9522223B2 (en) 2013-01-18 2016-12-20 Medtronic Minimed, Inc. Systems for fluid reservoir retention
US9107994B2 (en) 2013-01-18 2015-08-18 Medtronic Minimed, Inc. Systems for fluid reservoir retention
US9033924B2 (en) 2013-01-18 2015-05-19 Medtronic Minimed, Inc. Systems for fluid reservoir retention
WO2014120669A1 (en) 2013-01-29 2014-08-07 Proteus Digital Health, Inc. Highly-swellable polymeric films and compositions comprising the same
US9308321B2 (en) 2013-02-18 2016-04-12 Medtronic Minimed, Inc. Infusion device having gear assembly initialization
WO2014151929A1 (en) 2013-03-15 2014-09-25 Proteus Digital Health, Inc. Personal authentication apparatus system and method
US10175376B2 (en) 2013-03-15 2019-01-08 Proteus Digital Health, Inc. Metal detector apparatus, system, and method
US8920381B2 (en) 2013-04-12 2014-12-30 Medtronic Minimed, Inc. Infusion set with improved bore configuration
JP6511439B2 (en) 2013-06-04 2019-05-15 プロテウス デジタル ヘルス, インコーポレイテッド Systems, devices, and methods for data collection and outcome assessment
US9383451B2 (en) 2013-06-19 2016-07-05 Zoll Medical Corporation Systems and methods of determining location using a medical device
US9433731B2 (en) 2013-07-19 2016-09-06 Medtronic Minimed, Inc. Detecting unintentional motor motion and infusion device incorporating same
US9402949B2 (en) 2013-08-13 2016-08-02 Medtronic Minimed, Inc. Detecting conditions associated with medical device operations using matched filters
US9880528B2 (en) 2013-08-21 2018-01-30 Medtronic Minimed, Inc. Medical devices and related updating methods and systems
US9889257B2 (en) 2013-08-21 2018-02-13 Medtronic Minimed, Inc. Systems and methods for updating medical devices
US9259528B2 (en) 2013-08-22 2016-02-16 Medtronic Minimed, Inc. Fluid infusion device with safety coupling
US9796576B2 (en) 2013-08-30 2017-10-24 Proteus Digital Health, Inc. Container with electronically controlled interlock
RU2628404C1 (en) 2013-09-20 2017-08-16 Протеус Диджитал Хелс, Инк. Methods, devices and systems of signals receiving and decoding in the presence of noise using the shears and deformation
JP2016537924A (en) 2013-09-24 2016-12-01 プロテウス デジタル ヘルス, インコーポレイテッド Method and apparatus for use with electromagnetic signals received at frequencies that are not accurately known in advance
US10084880B2 (en) 2013-11-04 2018-09-25 Proteus Digital Health, Inc. Social media networking based on physiologic information
US9750877B2 (en) 2013-12-11 2017-09-05 Medtronic Minimed, Inc. Predicted time to assess and/or control a glycemic state
US9750878B2 (en) 2013-12-11 2017-09-05 Medtronic Minimed, Inc. Closed-loop control of glucose according to a predicted blood glucose trajectory
US9849240B2 (en) 2013-12-12 2017-12-26 Medtronic Minimed, Inc. Data modification for predictive operations and devices incorporating same
US10105488B2 (en) 2013-12-12 2018-10-23 Medtronic Minimed, Inc. Predictive infusion device operations and related methods and systems
US9694132B2 (en) 2013-12-19 2017-07-04 Medtronic Minimed, Inc. Insertion device for insertion set
US9861748B2 (en) 2014-02-06 2018-01-09 Medtronic Minimed, Inc. User-configurable closed-loop notifications and infusion systems incorporating same
US9399096B2 (en) 2014-02-06 2016-07-26 Medtronic Minimed, Inc. Automatic closed-loop control adjustments and infusion systems incorporating same
US10034976B2 (en) 2014-03-24 2018-07-31 Medtronic Minimed, Inc. Fluid infusion patch pump device with automatic fluid system priming feature
US10001450B2 (en) 2014-04-18 2018-06-19 Medtronic Minimed, Inc. Nonlinear mapping technique for a physiological characteristic sensor
US10232113B2 (en) 2014-04-24 2019-03-19 Medtronic Minimed, Inc. Infusion devices and related methods and systems for regulating insulin on board
US9681828B2 (en) 2014-05-01 2017-06-20 Medtronic Minimed, Inc. Physiological characteristic sensors and methods for forming such sensors
US10275572B2 (en) 2014-05-01 2019-04-30 Medtronic Minimed, Inc. Detecting blockage of a reservoir cavity during a seating operation of a fluid infusion device
US10007765B2 (en) 2014-05-19 2018-06-26 Medtronic Minimed, Inc. Adaptive signal processing for infusion devices and related methods and systems
US10152049B2 (en) 2014-05-19 2018-12-11 Medtronic Minimed, Inc. Glucose sensor health monitoring and related methods and systems
US10274349B2 (en) 2014-05-19 2019-04-30 Medtronic Minimed, Inc. Calibration factor adjustments for infusion devices and related methods and systems
US9833563B2 (en) 2014-09-26 2017-12-05 Medtronic Minimed, Inc. Systems for managing reservoir chamber pressure
US9839753B2 (en) 2014-09-26 2017-12-12 Medtronic Minimed, Inc. Systems for managing reservoir chamber pressure
US10279126B2 (en) 2014-10-07 2019-05-07 Medtronic Minimed, Inc. Fluid conduit assembly with gas trapping filter in the fluid flow path
US9833564B2 (en) 2014-11-25 2017-12-05 Medtronic Minimed, Inc. Fluid conduit assembly with air venting features
US9987420B2 (en) 2014-11-26 2018-06-05 Medtronic Minimed, Inc. Systems and methods for fluid infusion device with automatic reservoir fill
US10195341B2 (en) 2014-11-26 2019-02-05 Medtronic Minimed, Inc. Systems and methods for fluid infusion device with automatic reservoir fill
US9943645B2 (en) 2014-12-04 2018-04-17 Medtronic Minimed, Inc. Methods for operating mode transitions and related infusion devices and systems
US9636453B2 (en) 2014-12-04 2017-05-02 Medtronic Minimed, Inc. Advance diagnosis of infusion device operating mode viability
US9937292B2 (en) 2014-12-09 2018-04-10 Medtronic Minimed, Inc. Systems for filling a fluid infusion device reservoir
US10265031B2 (en) 2014-12-19 2019-04-23 Medtronic Minimed, Inc. Infusion devices and related methods and systems for automatic alert clearing
US10307535B2 (en) 2014-12-19 2019-06-04 Medtronic Minimed, Inc. Infusion devices and related methods and systems for preemptive alerting
US10307528B2 (en) 2015-03-09 2019-06-04 Medtronic Minimed, Inc. Extensible infusion devices and related methods
WO2016154274A2 (en) 2015-03-24 2016-09-29 Zoll Medical Corporation Systems and methods of determining location using a medical device
US10449298B2 (en) 2015-03-26 2019-10-22 Medtronic Minimed, Inc. Fluid injection devices and related methods
US9999721B2 (en) 2015-05-26 2018-06-19 Medtronic Minimed, Inc. Error handling in infusion devices with distributed motor control and related operating methods
US10137243B2 (en) 2015-05-26 2018-11-27 Medtronic Minimed, Inc. Infusion devices with distributed motor control and related operating methods
US10575767B2 (en) 2015-05-29 2020-03-03 Medtronic Minimed, Inc. Method for monitoring an analyte, analyte sensor and analyte monitoring apparatus
US9878095B2 (en) 2015-06-22 2018-01-30 Medtronic Minimed, Inc. Occlusion detection techniques for a fluid infusion device having a rotary pump mechanism and multiple sensor contact elements
US9987425B2 (en) 2015-06-22 2018-06-05 Medtronic Minimed, Inc. Occlusion detection techniques for a fluid infusion device having a rotary pump mechanism and sensor contact elements
US9993594B2 (en) 2015-06-22 2018-06-12 Medtronic Minimed, Inc. Occlusion detection techniques for a fluid infusion device having a rotary pump mechanism and rotor position sensors
US9879668B2 (en) 2015-06-22 2018-01-30 Medtronic Minimed, Inc. Occlusion detection techniques for a fluid infusion device having a rotary pump mechanism and an optical sensor
US10010668B2 (en) 2015-06-22 2018-07-03 Medtronic Minimed, Inc. Occlusion detection techniques for a fluid infusion device having a rotary pump mechanism and a force sensor
US11051543B2 (en) 2015-07-21 2021-07-06 Otsuka Pharmaceutical Co. Ltd. Alginate on adhesive bilayer laminate film
US10463297B2 (en) 2015-08-21 2019-11-05 Medtronic Minimed, Inc. Personalized event detection methods and related devices and systems
US10293108B2 (en) 2015-08-21 2019-05-21 Medtronic Minimed, Inc. Infusion devices and related patient ratio adjustment methods
US10478557B2 (en) 2015-08-21 2019-11-19 Medtronic Minimed, Inc. Personalized parameter modeling methods and related devices and systems
US20170053084A1 (en) 2015-08-21 2017-02-23 Medtronic Minimed, Inc. Data analytics and reporting of glucose-related information
US10201657B2 (en) 2015-08-21 2019-02-12 Medtronic Minimed, Inc. Methods for providing sensor site rotation feedback and related infusion devices and systems
CA2996196A1 (en) 2015-08-31 2017-03-09 Masimo Corporation Wireless patient monitoring systems and methods
US10117992B2 (en) 2015-09-29 2018-11-06 Medtronic Minimed, Inc. Infusion devices and related rescue detection methods
US11501867B2 (en) 2015-10-19 2022-11-15 Medtronic Minimed, Inc. Medical devices and related event pattern presentation methods
US11666702B2 (en) 2015-10-19 2023-06-06 Medtronic Minimed, Inc. Medical devices and related event pattern treatment recommendation methods
US10146911B2 (en) 2015-10-23 2018-12-04 Medtronic Minimed, Inc. Medical devices and related methods and systems for data transfer
US10037722B2 (en) 2015-11-03 2018-07-31 Medtronic Minimed, Inc. Detecting breakage in a display element
US10449306B2 (en) 2015-11-25 2019-10-22 Medtronics Minimed, Inc. Systems for fluid delivery with wicking membrane
US10589038B2 (en) 2016-04-27 2020-03-17 Medtronic Minimed, Inc. Set connector systems for venting a fluid reservoir
US10617302B2 (en) 2016-07-07 2020-04-14 Masimo Corporation Wearable pulse oximeter and respiration monitor
BR112019000861B1 (en) 2016-07-22 2020-10-27 Proteus Digital Health, Inc electronic device
EP3525661A1 (en) 2016-10-13 2019-08-21 Masimo Corporation Systems and methods for patient fall detection
TWI735689B (en) 2016-10-26 2021-08-11 日商大塚製藥股份有限公司 Methods for manufacturing capsules with ingestible event markers
US11097051B2 (en) 2016-11-04 2021-08-24 Medtronic Minimed, Inc. Methods and apparatus for detecting and reacting to insufficient hypoglycemia response
US10238030B2 (en) 2016-12-06 2019-03-26 Medtronic Minimed, Inc. Wireless medical device with a complementary split ring resonator arrangement for suppression of electromagnetic interference
TWI613614B (en) * 2016-12-12 2018-02-01 Chunghwa Telecom Co Ltd Audio-visual positioning care association system and method
US10272201B2 (en) 2016-12-22 2019-04-30 Medtronic Minimed, Inc. Insertion site monitoring methods and related infusion devices and systems
US10532165B2 (en) 2017-01-30 2020-01-14 Medtronic Minimed, Inc. Fluid reservoir and systems for filling a fluid reservoir of a fluid infusion device
US10500135B2 (en) 2017-01-30 2019-12-10 Medtronic Minimed, Inc. Fluid reservoir and systems for filling a fluid reservoir of a fluid infusion device
US10552580B2 (en) 2017-02-07 2020-02-04 Medtronic Minimed, Inc. Infusion system consumables and related calibration methods
US10363365B2 (en) 2017-02-07 2019-07-30 Medtronic Minimed, Inc. Infusion devices and related consumable calibration methods
US10646649B2 (en) 2017-02-21 2020-05-12 Medtronic Minimed, Inc. Infusion devices and fluid identification apparatuses and methods
US11207463B2 (en) 2017-02-21 2021-12-28 Medtronic Minimed, Inc. Apparatuses, systems, and methods for identifying an infusate in a reservoir of an infusion device
USD974193S1 (en) 2020-07-27 2023-01-03 Masimo Corporation Wearable temperature measurement device
USD980091S1 (en) 2020-07-27 2023-03-07 Masimo Corporation Wearable temperature measurement device
US11633112B2 (en) 2021-03-08 2023-04-25 Medtronic, Inc. Automatic alert control for acute health event
USD1000975S1 (en) 2021-09-22 2023-10-10 Masimo Corporation Wearable temperature measurement device

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5778882A (en) * 1995-02-24 1998-07-14 Brigham And Women's Hospital Health monitoring system
US5897493A (en) * 1997-03-28 1999-04-27 Health Hero Network, Inc. Monitoring system for remotely querying individuals
US5997476A (en) * 1997-03-28 1999-12-07 Health Hero Network, Inc. Networked system for interactive communication and remote monitoring of individuals
US6024699A (en) * 1998-03-13 2000-02-15 Healthware Corporation Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients
US6101478A (en) * 1997-04-30 2000-08-08 Health Hero Network Multi-user remote health monitoring system
US6168563B1 (en) * 1992-11-17 2001-01-02 Health Hero Network, Inc. Remote health monitoring and maintenance system
US6443890B1 (en) * 2000-03-01 2002-09-03 I-Medik, Inc. Wireless internet bio-telemetry monitoring system
US6579231B1 (en) * 1998-03-27 2003-06-17 Mci Communications Corporation Personal medical monitoring unit and system
US6790178B1 (en) * 1999-09-24 2004-09-14 Healthetech, Inc. Physiological monitor and associated computation, display and communication unit

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6168563B1 (en) * 1992-11-17 2001-01-02 Health Hero Network, Inc. Remote health monitoring and maintenance system
US5778882A (en) * 1995-02-24 1998-07-14 Brigham And Women's Hospital Health monitoring system
US6095985A (en) * 1995-02-24 2000-08-01 Brigham And Women's Hospital Health monitoring system
US6282441B1 (en) * 1995-02-24 2001-08-28 Brigham & Women's Hospital Health monitoring system
US5897493A (en) * 1997-03-28 1999-04-27 Health Hero Network, Inc. Monitoring system for remotely querying individuals
US5997476A (en) * 1997-03-28 1999-12-07 Health Hero Network, Inc. Networked system for interactive communication and remote monitoring of individuals
US6368273B1 (en) * 1997-03-28 2002-04-09 Health Hero Network, Inc. Networked system for interactive communication and remote monitoring of individuals
US6101478A (en) * 1997-04-30 2000-08-08 Health Hero Network Multi-user remote health monitoring system
US6024699A (en) * 1998-03-13 2000-02-15 Healthware Corporation Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients
US6579231B1 (en) * 1998-03-27 2003-06-17 Mci Communications Corporation Personal medical monitoring unit and system
US6790178B1 (en) * 1999-09-24 2004-09-14 Healthetech, Inc. Physiological monitor and associated computation, display and communication unit
US6443890B1 (en) * 2000-03-01 2002-09-03 I-Medik, Inc. Wireless internet bio-telemetry monitoring system

Cited By (421)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080139907A1 (en) * 1996-12-16 2008-06-12 Rao Raman K Intelligent personal health management appliances for the measurement and monitoring of health factors and controlled delivery of drugs
US8734339B2 (en) 1996-12-16 2014-05-27 Ip Holdings, Inc. Electronic skin patch for real time monitoring of cardiac activity and personal health management
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346336B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8473021B2 (en) 1998-04-30 2013-06-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8265726B2 (en) 1998-04-30 2012-09-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8260392B2 (en) 1998-04-30 2012-09-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8255031B2 (en) 1998-04-30 2012-08-28 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8235896B2 (en) 1998-04-30 2012-08-07 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8231532B2 (en) 1998-04-30 2012-07-31 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8480580B2 (en) 1998-04-30 2013-07-09 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8226555B2 (en) 1998-04-30 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8273022B2 (en) 1998-04-30 2012-09-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8287454B2 (en) 1998-04-30 2012-10-16 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8226557B2 (en) 1998-04-30 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8224413B2 (en) 1998-04-30 2012-07-17 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8880137B2 (en) 1998-04-30 2014-11-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066694B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066697B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10478108B2 (en) 1998-04-30 2019-11-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8306598B2 (en) 1998-04-30 2012-11-06 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8774887B2 (en) 1998-04-30 2014-07-08 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9072477B2 (en) 1998-04-30 2015-07-07 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7860544B2 (en) 1998-04-30 2010-12-28 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8744545B2 (en) 1998-04-30 2014-06-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9014773B2 (en) 1998-04-30 2015-04-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8734346B2 (en) 1998-04-30 2014-05-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8738109B2 (en) 1998-04-30 2014-05-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8734348B2 (en) 1998-04-30 2014-05-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8840553B2 (en) 1998-04-30 2014-09-23 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8672844B2 (en) 1998-04-30 2014-03-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9011331B2 (en) 1998-04-30 2015-04-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8177716B2 (en) 1998-04-30 2012-05-15 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8175673B2 (en) 1998-04-30 2012-05-08 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8226558B2 (en) 1998-04-30 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8162829B2 (en) 1998-04-30 2012-04-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8670815B2 (en) 1998-04-30 2014-03-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8275439B2 (en) 1998-04-30 2012-09-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8353829B2 (en) 1998-04-30 2013-01-15 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8666469B2 (en) 1998-04-30 2014-03-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8357091B2 (en) 1998-04-30 2013-01-22 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9042953B2 (en) 1998-04-30 2015-05-26 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8660627B2 (en) 1998-04-30 2014-02-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8597189B2 (en) 1998-04-30 2013-12-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8409131B2 (en) 1998-04-30 2013-04-02 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8649841B2 (en) 1998-04-30 2014-02-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8366614B2 (en) 1998-04-30 2013-02-05 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8641619B2 (en) 1998-04-30 2014-02-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8372005B2 (en) 1998-04-30 2013-02-12 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US20090216101A1 (en) * 1998-04-30 2009-08-27 Abbott Diabetes Care, Inc. Analyte Monitoring Device and Methods of Use
US7869853B1 (en) 1998-04-30 2011-01-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8380273B2 (en) 1998-04-30 2013-02-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8622906B2 (en) 1998-04-30 2014-01-07 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9326714B2 (en) 1998-04-30 2016-05-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8612159B2 (en) 1998-04-30 2013-12-17 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8617071B2 (en) 1998-04-30 2013-12-31 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7885699B2 (en) 1998-04-30 2011-02-08 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8391945B2 (en) 1998-04-30 2013-03-05 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8715177B2 (en) * 2000-10-06 2014-05-06 Ip Holdings, Inc. Intelligent drug delivery appliance
US20080091094A1 (en) * 2001-01-02 2008-04-17 Abbott Diabetes Care, Inc. Analyte Monitoring Device And Methods Of Use
US9610034B2 (en) 2001-01-02 2017-04-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8652043B2 (en) 2001-01-02 2014-02-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9498159B2 (en) 2001-01-02 2016-11-22 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8668645B2 (en) 2001-01-02 2014-03-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9011332B2 (en) 2001-01-02 2015-04-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8268243B2 (en) 2001-04-02 2012-09-18 Abbott Diabetes Care Inc. Blood glucose tracking apparatus and methods
US9477811B2 (en) 2001-04-02 2016-10-25 Abbott Diabetes Care Inc. Blood glucose tracking apparatus and methods
US7976778B2 (en) 2001-04-02 2011-07-12 Abbott Diabetes Care Inc. Blood glucose tracking apparatus
US8236242B2 (en) 2001-04-02 2012-08-07 Abbott Diabetes Care Inc. Blood glucose tracking apparatus and methods
US8765059B2 (en) 2001-04-02 2014-07-01 Abbott Diabetes Care Inc. Blood glucose tracking apparatus
US9872623B2 (en) 2002-03-25 2018-01-23 Masimo Corporation Arm mountable portable patient monitor
US10869602B2 (en) 2002-03-25 2020-12-22 Masimo Corporation Physiological measurement communications adapter
US11484205B2 (en) 2002-03-25 2022-11-01 Masimo Corporation Physiological measurement device
US10335033B2 (en) 2002-03-25 2019-07-02 Masimo Corporation Physiological measurement device
US10219706B2 (en) 2002-03-25 2019-03-05 Masimo Corporation Physiological measurement device
US9795300B2 (en) 2002-03-25 2017-10-24 Masimo Corporation Wearable portable patient monitor
US9788735B2 (en) 2002-03-25 2017-10-17 Masimo Corporation Body worn mobile medical patient monitor
US10213108B2 (en) 2002-03-25 2019-02-26 Masimo Corporation Arm mountable portable patient monitor
US9962091B2 (en) 2002-12-31 2018-05-08 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US20040186365A1 (en) * 2002-12-31 2004-09-23 Therasense, Inc. Continuous glucose monitoring system and methods of use
US10039881B2 (en) 2002-12-31 2018-08-07 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US10750952B2 (en) 2002-12-31 2020-08-25 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US8622903B2 (en) 2002-12-31 2014-01-07 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US7811231B2 (en) 2002-12-31 2010-10-12 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US8187183B2 (en) 2002-12-31 2012-05-29 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US20070224619A1 (en) * 2003-05-27 2007-09-27 Berkeley Heartlab, Inc. Apolipoprotein E genotyping and accompanying internet-based health management system
US7842506B2 (en) * 2003-05-27 2010-11-30 Berkeley Heartlab, Inc. Apolipoprotein E genotyping and accompanying internet-based health management system
US20040243005A1 (en) * 2003-05-29 2004-12-02 Rapps Gary M. Remote speaker microphone having vital sign monitoring capability
US9730584B2 (en) 2003-06-10 2017-08-15 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US8066639B2 (en) 2003-06-10 2011-11-29 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US20110046469A1 (en) * 2003-06-10 2011-02-24 Abbott Diabetes Care Inc. Glucose Measuring Device for Use In Personal Area Network
US8647269B2 (en) 2003-06-10 2014-02-11 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US8512239B2 (en) 2003-06-10 2013-08-20 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US8626257B2 (en) 2003-08-01 2014-01-07 Dexcom, Inc. Analyte sensor
US20090178459A1 (en) * 2003-08-01 2009-07-16 Dexcom, Inc. Analyte sensor
US10052055B2 (en) 2003-08-01 2018-08-21 Dexcom, Inc. Analyte sensor
US11000215B1 (en) 2003-12-05 2021-05-11 Dexcom, Inc. Analyte sensor
US11020031B1 (en) 2003-12-05 2021-06-01 Dexcom, Inc. Analyte sensor
US11627900B2 (en) 2003-12-05 2023-04-18 Dexcom, Inc. Analyte sensor
US20100022908A1 (en) * 2003-12-19 2010-01-28 Board Of Regents, The University Of Texas System System and Method for Interfacing Cellular Matter with a Machine
US8771183B2 (en) 2004-02-17 2014-07-08 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US20080281298A1 (en) * 2005-02-07 2008-11-13 Andersen David R Electronic support system for biological data sensor
US20070066877A1 (en) * 2005-04-04 2007-03-22 Arnold Mark A Reagentless optical analyte detection system
US8204565B2 (en) 2005-04-04 2012-06-19 University Of Iowa Research Foundation Reagentless optical analyte detection system
US20060247505A1 (en) * 2005-04-28 2006-11-02 Siddiqui Waqaas A Wireless sensor system
US8112240B2 (en) 2005-04-29 2012-02-07 Abbott Diabetes Care Inc. Method and apparatus for providing leak detection in data monitoring and management systems
US20060247508A1 (en) * 2005-04-29 2006-11-02 Therasense, Inc. Method and apparatus for providing leak detection in data monitoring and management systems
US20060257834A1 (en) * 2005-05-10 2006-11-16 Lee Linda M Quantitative EEG as an identifier of learning modality
US11638547B2 (en) 2005-08-09 2023-05-02 Nielsen Consumer Llc Device and method for sensing electrical activity in tissue
US10506941B2 (en) 2005-08-09 2019-12-17 The Nielsen Company (Us), Llc Device and method for sensing electrical activity in tissue
US10194850B2 (en) 2005-08-31 2019-02-05 Abbott Diabetes Care Inc. Accuracy of continuous glucose sensors
US9351658B2 (en) 2005-09-02 2016-05-31 The Nielsen Company (Us), Llc Device and method for sensing electrical activity in tissue
US20070055169A1 (en) * 2005-09-02 2007-03-08 Lee Michael J Device and method for sensing electrical activity in tissue
WO2007040963A3 (en) * 2005-09-29 2007-10-25 Berkeley Heartlab Inc Internet-based system for monitoring blood test, vital sign, and exercise information from a patient
WO2007040963A2 (en) * 2005-09-29 2007-04-12 Berkeley Heartlab, Inc. Internet-based system for monitoring blood test, vital sign, and exercise information from a patient
US20090131774A1 (en) * 2005-10-27 2009-05-21 Smiths Medical Pm, Inc Single use pulse oximeter
US7499739B2 (en) 2005-10-27 2009-03-03 Smiths Medical Pm, Inc. Single use pulse oximeter
US7486977B2 (en) 2005-10-27 2009-02-03 Smiths Medical Pm, Inc. Single use pulse oximeter
US20070100219A1 (en) * 2005-10-27 2007-05-03 Smiths Medical Pm, Inc. Single use pulse oximeter
US20070100218A1 (en) * 2005-10-27 2007-05-03 Smiths Medical Pm, Inc. Single use pulse oximeter
US8457704B2 (en) 2005-10-27 2013-06-04 Smiths Medical Asd, Inc. Single use pulse oximeter
US8903467B2 (en) 2005-10-27 2014-12-02 Smiths Medical Asd, Inc. Single use pulse oximeter
US20090054747A1 (en) * 2005-10-31 2009-02-26 Abbott Diabetes Care, Inc. Method and system for providing analyte sensor tester isolation
US9326716B2 (en) 2005-11-01 2016-05-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8920319B2 (en) 2005-11-01 2014-12-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8915850B2 (en) 2005-11-01 2014-12-23 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11363975B2 (en) 2005-11-01 2022-06-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10231654B2 (en) 2005-11-01 2019-03-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11103165B2 (en) 2005-11-01 2021-08-31 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11399748B2 (en) 2005-11-01 2022-08-02 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10952652B2 (en) 2005-11-01 2021-03-23 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11272867B2 (en) 2005-11-01 2022-03-15 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11911151B1 (en) 2005-11-01 2024-02-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9078607B2 (en) 2005-11-01 2015-07-14 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10201301B2 (en) 2005-11-01 2019-02-12 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9323898B2 (en) 2005-11-04 2016-04-26 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US7766829B2 (en) 2005-11-04 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US11538580B2 (en) 2005-11-04 2022-12-27 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US8585591B2 (en) 2005-11-04 2013-11-19 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US9669162B2 (en) 2005-11-04 2017-06-06 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US20090265186A1 (en) * 2005-11-17 2009-10-22 E-San Limited System and Method for Communicating Environmentally-Based Medical Advice
WO2007057646A1 (en) * 2005-11-17 2007-05-24 E-San Limited System and method for communicating environmentally-based medical advice
US20070123754A1 (en) * 2005-11-29 2007-05-31 Cuddihy Paul E Non-encumbering, substantially continuous patient daily activity data measurement for indication of patient condition change for access by remote caregiver
US20090221882A1 (en) * 2005-12-08 2009-09-03 Dan Gur Furman Implantable Biosensor Assembly and Health Monitoring system and Method including same
US20090205042A1 (en) * 2005-12-15 2009-08-13 Koninklijke Philips Electronics, N.V. External user interface based measurement association
US20070149888A1 (en) * 2005-12-28 2007-06-28 General Electric Company Devices and methods for self-administered ecg examinations
US8594771B2 (en) * 2005-12-28 2013-11-26 General Electric Company Devices and methods for self-administered ECG examinations
US8920343B2 (en) 2006-03-23 2014-12-30 Michael Edward Sabatino Apparatus for acquiring and processing of physiological auditory signals
US11357471B2 (en) 2006-03-23 2022-06-14 Michael E. Sabatino Acquiring and processing acoustic energy emitted by at least one organ in a biological system
US8870791B2 (en) 2006-03-23 2014-10-28 Michael E. Sabatino Apparatus for acquiring, processing and transmitting physiological sounds
US20100045231A1 (en) * 2006-03-31 2010-02-25 Abbott Diabetes Care Inc. Method and System for Powering an Electronic Device
US9625413B2 (en) 2006-03-31 2017-04-18 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US8226891B2 (en) 2006-03-31 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US8933664B2 (en) 2006-03-31 2015-01-13 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US9380971B2 (en) 2006-03-31 2016-07-05 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US9039975B2 (en) 2006-03-31 2015-05-26 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US8593109B2 (en) 2006-03-31 2013-11-26 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US8597575B2 (en) 2006-03-31 2013-12-03 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US9743863B2 (en) 2006-03-31 2017-08-29 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US20070282186A1 (en) * 2006-05-02 2007-12-06 Adrian Gilmore Blood glucose monitor with an integrated data management system
US20090054749A1 (en) * 2006-05-31 2009-02-26 Abbott Diabetes Care, Inc. Method and System for Providing Data Transmission in a Data Management System
US20070288266A1 (en) * 2006-06-02 2007-12-13 Suzanne Sysko System and methods for chronic disease management and health assessment
JP2009539445A (en) * 2006-06-07 2009-11-19 ガンブロ・ルンディア・エービー Prediction of rapid symptomatic blood pressure drop
US7920907B2 (en) 2006-06-07 2011-04-05 Abbott Diabetes Care Inc. Analyte monitoring system and method
US20080064937A1 (en) * 2006-06-07 2008-03-13 Abbott Diabetes Care, Inc. Analyte monitoring system and method
US20070299316A1 (en) * 2006-06-21 2007-12-27 Patrick Haslehurst System and method for remote medical device operation
US20090105571A1 (en) * 2006-06-30 2009-04-23 Abbott Diabetes Care, Inc. Method and System for Providing Data Communication in Data Management Systems
WO2008127265A1 (en) * 2006-07-27 2008-10-23 Guardid Systems Secure web site authentication using web site characteristics, secure user credentials and private browser
US7925511B2 (en) 2006-09-29 2011-04-12 Nellcor Puritan Bennett Llc System and method for secure voice identification in a medical device
US20080082339A1 (en) * 2006-09-29 2008-04-03 Nellcor Puritan Bennett Incorporated System and method for secure voice identification in a medical device
US7788343B2 (en) 2006-10-02 2010-08-31 Patrick Haselhurst Method and system for analysis of medical data
US20080082659A1 (en) * 2006-10-02 2008-04-03 Patrick Haslehurst Method and system for analysis of medical data
US8449464B2 (en) 2006-10-04 2013-05-28 Dexcom, Inc. Analyte sensor
US20090137887A1 (en) * 2006-10-04 2009-05-28 Dexcom, Inc. Analyte sensor
US8425416B2 (en) 2006-10-04 2013-04-23 Dexcom, Inc. Analyte sensor
US8478377B2 (en) 2006-10-04 2013-07-02 Dexcom, Inc. Analyte sensor
US20080200791A1 (en) * 2006-10-04 2008-08-21 Dexcom, Inc. Analyte sensor
US11382539B2 (en) 2006-10-04 2022-07-12 Dexcom, Inc. Analyte sensor
US8447376B2 (en) 2006-10-04 2013-05-21 Dexcom, Inc. Analyte sensor
US8364230B2 (en) 2006-10-04 2013-01-29 Dexcom, Inc. Analyte sensor
US20090131777A1 (en) * 2006-10-04 2009-05-21 Dexcom, Inc. Analyte sensor
US20090137886A1 (en) * 2006-10-04 2009-05-28 Dexcom, Inc. Analyte sensor
US8211016B2 (en) 2006-10-25 2012-07-03 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US20090069649A1 (en) * 2006-10-25 2009-03-12 Abbott Diabetes Care, Inc. Method and System for Providing Analyte Monitoring
US8216137B2 (en) 2006-10-25 2012-07-10 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US20090281407A1 (en) * 2006-10-25 2009-11-12 Abbott Diabetes Care Inc. Method and System for Providing Analyte Monitoring
US9113828B2 (en) 2006-10-25 2015-08-25 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US11282603B2 (en) 2006-10-25 2022-03-22 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US9814428B2 (en) 2006-10-25 2017-11-14 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US10194868B2 (en) 2006-10-25 2019-02-05 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US9882660B2 (en) 2006-10-26 2018-01-30 Abbott Diabetes Care Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US11722229B2 (en) 2006-10-26 2023-08-08 Abbott Diabetes Care Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US8135548B2 (en) 2006-10-26 2012-03-13 Abbott Diabetes Care Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US20080172205A1 (en) * 2006-10-26 2008-07-17 Abbott Diabetes Care, Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US10903914B2 (en) 2006-10-26 2021-01-26 Abbott Diabetes Care Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US8718958B2 (en) 2006-10-26 2014-05-06 Abbott Diabetes Care Inc. Method, system and computer program product for real-time detection of sensitivity decline in analyte sensors
US8930203B2 (en) 2007-02-18 2015-01-06 Abbott Diabetes Care Inc. Multi-function analyte test device and methods therefor
US8732188B2 (en) 2007-02-18 2014-05-20 Abbott Diabetes Care Inc. Method and system for providing contextual based medication dosage determination
US10846607B2 (en) 2007-02-22 2020-11-24 WellDoc, Inc. Adaptive analytical behavioral and health assistant system and related method of use
US20080306770A1 (en) * 2007-02-22 2008-12-11 Sysko Ryan A Systems and methods for disease control and management
US10818389B2 (en) 2007-02-22 2020-10-27 WellDoc, Inc. Systems and methods for disease control and management
US10872686B2 (en) 2007-02-22 2020-12-22 WellDoc, Inc. Systems and methods for disease control and management
US9754077B2 (en) 2007-02-22 2017-09-05 WellDoc, Inc. Systems and methods for disease control and management
US11699511B2 (en) 2007-02-22 2023-07-11 WellDoc, Inc. Systems and methods for disease control and management
US11004558B2 (en) 2007-02-22 2021-05-11 WellDoc, Inc. Systems and methods for disease control and management
US10860943B2 (en) 2007-02-22 2020-12-08 WellDoc, Inc. Systems and methods for disease control and management
US9801545B2 (en) 2007-03-01 2017-10-31 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
US9095290B2 (en) 2007-03-01 2015-08-04 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
US20080214900A1 (en) * 2007-03-01 2008-09-04 Abbott Diabetes Care, Inc. Method and apparatus for providing rolling data in communication systems
WO2008106645A3 (en) * 2007-03-01 2008-11-06 Abbott Diabetes Care Inc Method and apparatus for providing rolling data in communication systems
WO2008106645A2 (en) * 2007-03-01 2008-09-04 Abbott Diabetes Care, Inc. Method and apparatus for providing rolling data in communication systems
US8123686B2 (en) * 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
US20090070798A1 (en) * 2007-03-02 2009-03-12 Lee Hans C System and Method for Detecting Viewer Attention to Media Delivery Devices
US20090253996A1 (en) * 2007-03-02 2009-10-08 Lee Michael J Integrated Sensor Headset
US20080214902A1 (en) * 2007-03-02 2008-09-04 Lee Hans C Apparatus and Method for Objectively Determining Human Response to Media
US9215996B2 (en) 2007-03-02 2015-12-22 The Nielsen Company (Us), Llc Apparatus and method for objectively determining human response to media
US8973022B2 (en) 2007-03-07 2015-03-03 The Nielsen Company (Us), Llc Method and system for using coherence of biological responses as a measure of performance of a media
US8473044B2 (en) 2007-03-07 2013-06-25 The Nielsen Company (Us), Llc Method and system for measuring and ranking a positive or negative response to audiovisual or interactive media, products or activities using physiological signals
US8230457B2 (en) 2007-03-07 2012-07-24 The Nielsen Company (Us), Llc. Method and system for using coherence of biological responses as a measure of performance of a media
US20080221969A1 (en) * 2007-03-07 2008-09-11 Emsense Corporation Method And System For Measuring And Ranking A "Thought" Response To Audiovisual Or Interactive Media, Products Or Activities Using Physiological Signals
US20080222670A1 (en) * 2007-03-07 2008-09-11 Lee Hans C Method and system for using coherence of biological responses as a measure of performance of a media
US20080221472A1 (en) * 2007-03-07 2008-09-11 Lee Hans C Method and system for measuring and ranking a positive or negative response to audiovisual or interactive media, products or activities using physiological signals
US8782681B2 (en) 2007-03-08 2014-07-15 The Nielsen Company (Us), Llc Method and system for rating media and events in media based on physiological data
US20080221400A1 (en) * 2007-03-08 2008-09-11 Lee Hans C Method and system for measuring and ranking an "engagement" response to audiovisual or interactive media, products, or activities using physiological signals
US20080222671A1 (en) * 2007-03-08 2008-09-11 Lee Hans C Method and system for rating media and events in media based on physiological data
US8764652B2 (en) 2007-03-08 2014-07-01 The Nielson Company (US), LLC. Method and system for measuring and ranking an “engagement” response to audiovisual or interactive media, products, or activities using physiological signals
US20100014626A1 (en) * 2007-05-08 2010-01-21 Fennell Martin J Method And Device For Determining Elapsed Sensor Life
US20090318789A1 (en) * 2007-05-08 2009-12-24 Fennell Martin J Analyte Monitoring System and Methods
US9000929B2 (en) 2007-05-08 2015-04-07 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US20080281840A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US20090318792A1 (en) * 2007-05-08 2009-12-24 Fennell Martin J Analyte Monitoring System and Methods
US10178954B2 (en) 2007-05-08 2019-01-15 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US20080278333A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US9574914B2 (en) 2007-05-08 2017-02-21 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US9035767B2 (en) 2007-05-08 2015-05-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US10653317B2 (en) 2007-05-08 2020-05-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8665091B2 (en) 2007-05-08 2014-03-04 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US9949678B2 (en) 2007-05-08 2018-04-24 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US9314198B2 (en) 2007-05-08 2016-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US10952611B2 (en) 2007-05-08 2021-03-23 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8593287B2 (en) 2007-05-08 2013-11-26 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US9649057B2 (en) 2007-05-08 2017-05-16 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8461985B2 (en) 2007-05-08 2013-06-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8456301B2 (en) 2007-05-08 2013-06-04 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8149117B2 (en) 2007-05-08 2012-04-03 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8362904B2 (en) 2007-05-08 2013-01-29 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US11696684B2 (en) 2007-05-08 2023-07-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US9177456B2 (en) 2007-05-08 2015-11-03 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8376952B2 (en) 2007-09-07 2013-02-19 The Nielsen Company (Us), Llc. Method and apparatus for sensing blood oxygen
US20090069652A1 (en) * 2007-09-07 2009-03-12 Lee Hans C Method and Apparatus for Sensing Blood Oxygen
US20090094627A1 (en) * 2007-10-02 2009-04-09 Lee Hans C Providing Remote Access to Media, and Reaction and Survey Data From Viewers of the Media
US9894399B2 (en) 2007-10-02 2018-02-13 The Nielsen Company (Us), Llc Systems and methods to determine media effectiveness
US20090094629A1 (en) * 2007-10-02 2009-04-09 Lee Hans C Providing Actionable Insights Based on Physiological Responses From Viewers of Media
US8332883B2 (en) 2007-10-02 2012-12-11 The Nielsen Company (Us), Llc Providing actionable insights based on physiological responses from viewers of media
US9021515B2 (en) 2007-10-02 2015-04-28 The Nielsen Company (Us), Llc Systems and methods to determine media effectiveness
US8151292B2 (en) 2007-10-02 2012-04-03 Emsense Corporation System for remote access to media, and reaction and survey data from viewers of the media
US20090094628A1 (en) * 2007-10-02 2009-04-09 Lee Hans C System Providing Actionable Insights Based on Physiological Responses From Viewers of Media
US9571877B2 (en) 2007-10-02 2017-02-14 The Nielsen Company (Us), Llc Systems and methods to determine media effectiveness
US20090094286A1 (en) * 2007-10-02 2009-04-09 Lee Hans C System for Remote Access to Media, and Reaction and Survey Data From Viewers of the Media
US8327395B2 (en) 2007-10-02 2012-12-04 The Nielsen Company (Us), Llc System providing actionable insights based on physiological responses from viewers of media
US8216138B1 (en) 2007-10-23 2012-07-10 Abbott Diabetes Care Inc. Correlation of alternative site blood and interstitial fluid glucose concentrations to venous glucose concentration
US9521960B2 (en) 2007-10-31 2016-12-20 The Nielsen Company (Us), Llc Systems and methods providing en mass collection and centralized processing of physiological responses from viewers
US20090133047A1 (en) * 2007-10-31 2009-05-21 Lee Hans C Systems and Methods Providing Distributed Collection and Centralized Processing of Physiological Responses from Viewers
US10580018B2 (en) 2007-10-31 2020-03-03 The Nielsen Company (Us), Llc Systems and methods providing EN mass collection and centralized processing of physiological responses from viewers
WO2009059248A1 (en) * 2007-10-31 2009-05-07 Emsense Corporation Systems and methods providing distributed collection and centralized processing of physiological responses from viewers
WO2009059246A1 (en) * 2007-10-31 2009-05-07 Emsense Corporation Systems and methods providing en mass collection and centralized processing of physiological responses from viewers
US11250447B2 (en) 2007-10-31 2022-02-15 Nielsen Consumer Llc Systems and methods providing en mass collection and centralized processing of physiological responses from viewers
US20090150919A1 (en) * 2007-11-30 2009-06-11 Lee Michael J Correlating Media Instance Information With Physiological Responses From Participating Subjects
US8347326B2 (en) 2007-12-18 2013-01-01 The Nielsen Company (US) Identifying key media events and modeling causal relationships between key events and reported feelings
US8793715B1 (en) 2007-12-18 2014-07-29 The Nielsen Company (Us), Llc Identifying key media events and modeling causal relationships between key events and reported feelings
US10685749B2 (en) 2007-12-19 2020-06-16 Abbott Diabetes Care Inc. Insulin delivery apparatuses capable of bluetooth data transmission
US20090171170A1 (en) * 2007-12-28 2009-07-02 Nellcor Puritan Bennett Llc Medical Monitoring With Portable Electronic Device System And Method
US20090171175A1 (en) * 2007-12-31 2009-07-02 Nellcor Puritan Bennett Llc Personalized Medical Monitoring: Auto-Configuration Using Patient Record Information
US20090216096A1 (en) * 2007-12-31 2009-08-27 Nellcor Puritan Bennett Llc Method and apparatus to determine skin sterol levels
US20090204668A1 (en) * 2008-02-12 2009-08-13 Sydney Furan Huang System and process for distant pulse diagnosis
US20100331657A1 (en) * 2008-02-21 2010-12-30 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US11102306B2 (en) 2008-02-21 2021-08-24 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US9020572B2 (en) * 2008-02-21 2015-04-28 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US8591455B2 (en) 2008-02-21 2013-11-26 Dexcom, Inc. Systems and methods for customizing delivery of sensor data
US20090240120A1 (en) * 2008-02-21 2009-09-24 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US20090240193A1 (en) * 2008-02-21 2009-09-24 Dexcom, Inc. Systems and methods for customizing delivery of sensor data
US9143569B2 (en) 2008-02-21 2015-09-22 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
WO2009105709A1 (en) * 2008-02-21 2009-08-27 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US20100331656A1 (en) * 2008-02-21 2010-12-30 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US20090216090A1 (en) * 2008-02-26 2009-08-27 Sinbon Electronics Company Ltd. Household health monitoring system
US8583205B2 (en) 2008-03-28 2013-11-12 Abbott Diabetes Care Inc. Analyte sensor calibration management
US20090326340A1 (en) * 2008-06-30 2009-12-31 Hui Wang Patient Monitor Alarm System And Method
US11679200B2 (en) 2008-08-31 2023-06-20 Abbott Diabetes Care Inc. Closed loop control and signal attenuation detection
US10188794B2 (en) 2008-08-31 2019-01-29 Abbott Diabetes Care Inc. Closed loop control and signal attenuation detection
US9662056B2 (en) 2008-09-30 2017-05-30 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US20100081909A1 (en) * 2008-09-30 2010-04-01 Abbott Diabetes Care, Inc. Optimizing Analyte Sensor Calibration
US11484234B2 (en) 2008-09-30 2022-11-01 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US8219173B2 (en) 2008-09-30 2012-07-10 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US11464434B2 (en) 2008-09-30 2022-10-11 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US11202592B2 (en) 2008-09-30 2021-12-21 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US8744547B2 (en) 2008-09-30 2014-06-03 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US20100081891A1 (en) * 2008-09-30 2010-04-01 Nellcor Puritan Bennett Llc System And Method For Displaying Detailed Information For A Data Point
US11013439B2 (en) 2008-09-30 2021-05-25 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US10980461B2 (en) 2008-11-07 2021-04-20 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US11272890B2 (en) 2008-11-10 2022-03-15 Abbott Diabetes Care Inc. Alarm characterization for analyte monitoring devices and systems
US9326707B2 (en) 2008-11-10 2016-05-03 Abbott Diabetes Care Inc. Alarm characterization for analyte monitoring devices and systems
US9730650B2 (en) 2008-11-10 2017-08-15 Abbott Diabetes Care Inc. Alarm characterization for analyte monitoring devices and systems
US11678848B2 (en) 2008-11-10 2023-06-20 Abbott Diabetes Care Inc. Alarm characterization for analyte monitoring devices and systems
US20100121167A1 (en) * 2008-11-10 2010-05-13 Abbott Diabetes Care Inc. Alarm Characterization for Analyte Monitoring Devices and Systems
US20110205068A1 (en) * 2008-11-13 2011-08-25 Wms Gaming Inc. Communicating in-casino emergency notifications
WO2010056891A1 (en) * 2008-11-13 2010-05-20 Wms Gaming, Inc. Communicating in-casino emergency notifications
US8622823B2 (en) 2008-11-13 2014-01-07 Wms Gaming, Inc. Communicating in-casino emergency notifications
US20100185398A1 (en) * 2009-01-22 2010-07-22 Under Armour, Inc. System and Method for Monitoring Athletic Performance
US8532935B2 (en) 2009-01-29 2013-09-10 Abbott Diabetes Care Inc. Method and device for providing offset model based calibration for analyte sensor
US11464430B2 (en) 2009-01-29 2022-10-11 Abbott Diabetes Care Inc. Method and device for providing offset model based calibration for analyte sensor
US8224415B2 (en) 2009-01-29 2012-07-17 Abbott Diabetes Care Inc. Method and device for providing offset model based calibration for analyte sensor
US8103456B2 (en) 2009-01-29 2012-01-24 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US10089446B2 (en) 2009-01-29 2018-10-02 Abbott Diabetes Care Inc. Method and device for providing offset model based calibration for analyte sensor
US9066709B2 (en) 2009-01-29 2015-06-30 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US8676513B2 (en) 2009-01-29 2014-03-18 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US20100191085A1 (en) * 2009-01-29 2010-07-29 Abbott Diabetes Care, Inc. Method and Device for Providing Offset Model Based Calibration for Analyte Sensor
US8473220B2 (en) 2009-01-29 2013-06-25 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US9226701B2 (en) 2009-04-28 2016-01-05 Abbott Diabetes Care Inc. Error detection in critical repeating data in a wireless sensor system
US20100275108A1 (en) * 2009-04-28 2010-10-28 Abbott Diabetes Care Inc. Error Detection in Critical Repeating Data in a Wireless Sensor System
US11793936B2 (en) 2009-05-29 2023-10-24 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
US11872370B2 (en) 2009-05-29 2024-01-16 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
US20110046519A1 (en) * 2009-08-21 2011-02-24 Fazal Raheman Prescription Zero: A non-pharmaceutical prescription device for prescribing, administering, monitoring, measuring and motivating a therapeutic lifestyle regimen for prevention and treatment of chronic diseases
US8303500B2 (en) * 2009-08-21 2012-11-06 Fazal Raheman Prescription zero: a non-pharmaceutical prescription device for prescribing, administering, monitoring, measuring and motivating a therapeutic lifestyle regimen for prevention and treatment of chronic diseases
US10429250B2 (en) 2009-08-31 2019-10-01 Abbott Diabetes Care, Inc. Analyte monitoring system and methods for managing power and noise
US11150145B2 (en) 2009-08-31 2021-10-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US9314195B2 (en) 2009-08-31 2016-04-19 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US11635332B2 (en) 2009-08-31 2023-04-25 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US11045147B2 (en) 2009-08-31 2021-06-29 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US9968302B2 (en) 2009-08-31 2018-05-15 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US8993331B2 (en) 2009-08-31 2015-03-31 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US9408560B2 (en) * 2009-09-18 2016-08-09 Modus Health Llc System to assess activity level of a user
US8998829B1 (en) * 2009-09-18 2015-04-07 Orthocare Innovations Llc System to assess amputee patient function
US10349874B2 (en) 2009-09-29 2019-07-16 Abbott Diabetes Care Inc. Method and apparatus for providing notification function in analyte monitoring systems
US9320461B2 (en) 2009-09-29 2016-04-26 Abbott Diabetes Care Inc. Method and apparatus for providing notification function in analyte monitoring systems
US9750439B2 (en) 2009-09-29 2017-09-05 Abbott Diabetes Care Inc. Method and apparatus for providing notification function in analyte monitoring systems
US20110077494A1 (en) * 2009-09-29 2011-03-31 Abbott Diabetes Care Inc. Method and Apparatus for Providing Notification Function in Analyte Monitoring Systems
US10117606B2 (en) 2009-10-30 2018-11-06 Abbott Diabetes Care Inc. Method and apparatus for detecting false hypoglycemic conditions
US11207005B2 (en) 2009-10-30 2021-12-28 Abbott Diabetes Care Inc. Method and apparatus for detecting false hypoglycemic conditions
US9050041B2 (en) 2009-10-30 2015-06-09 Abbott Diabetes Care Inc. Method and apparatus for detecting false hypoglycemic conditions
US8185181B2 (en) 2009-10-30 2012-05-22 Abbott Diabetes Care Inc. Method and apparatus for detecting false hypoglycemic conditions
US20110118557A1 (en) * 2009-11-18 2011-05-19 Nellcor Purifan Bennett LLC Intelligent User Interface For Medical Monitors
US20110124996A1 (en) * 2009-11-20 2011-05-26 Roche Diagnostics Operations, Inc. Diabetes health management systems and methods
US20110225008A1 (en) * 2010-03-09 2011-09-15 Respira Dv, Llc Self-Similar Medical Communications System
US11061491B2 (en) 2010-03-10 2021-07-13 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels
US10078380B2 (en) 2010-03-10 2018-09-18 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels
US9326709B2 (en) 2010-03-10 2016-05-03 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels
US8635046B2 (en) 2010-06-23 2014-01-21 Abbott Diabetes Care Inc. Method and system for evaluating analyte sensor response characteristics
US10092229B2 (en) 2010-06-29 2018-10-09 Abbott Diabetes Care Inc. Calibration of analyte measurement system
US11478173B2 (en) 2010-06-29 2022-10-25 Abbott Diabetes Care Inc. Calibration of analyte measurement system
US10561354B2 (en) 2011-04-15 2020-02-18 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US10555695B2 (en) 2011-04-15 2020-02-11 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US10835162B2 (en) 2011-04-15 2020-11-17 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US10610141B2 (en) 2011-04-15 2020-04-07 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US10624568B2 (en) 2011-04-15 2020-04-21 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US10722162B2 (en) 2011-04-15 2020-07-28 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US10682084B2 (en) 2011-04-15 2020-06-16 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US8601005B2 (en) 2011-05-27 2013-12-03 Roche Diagnostics Operations, Inc. Location enabled food database
US9913619B2 (en) 2011-10-31 2018-03-13 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
US11406331B2 (en) 2011-10-31 2022-08-09 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
US9622691B2 (en) 2011-10-31 2017-04-18 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
US9980669B2 (en) 2011-11-07 2018-05-29 Abbott Diabetes Care Inc. Analyte monitoring device and methods
US20130332196A1 (en) * 2012-06-07 2013-12-12 The Government Of The United States As Represented By The Secretary Of The Army Diabetes Monitoring Using Smart Device
US10779745B2 (en) 2012-08-17 2020-09-22 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
US8989835B2 (en) 2012-08-17 2015-03-24 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
US9060671B2 (en) 2012-08-17 2015-06-23 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
US9907482B2 (en) 2012-08-17 2018-03-06 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
US10842403B2 (en) 2012-08-17 2020-11-24 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
US9215978B2 (en) 2012-08-17 2015-12-22 The Nielsen Company (Us), Llc Systems and methods to gather and analyze electroencephalographic data
US11612363B2 (en) 2012-09-17 2023-03-28 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
US9968306B2 (en) 2012-09-17 2018-05-15 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
US10842420B2 (en) 2012-09-26 2020-11-24 Abbott Diabetes Care Inc. Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
US9907492B2 (en) 2012-09-26 2018-03-06 Abbott Diabetes Care Inc. Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
US11896371B2 (en) 2012-09-26 2024-02-13 Abbott Diabetes Care Inc. Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
US9675290B2 (en) 2012-10-30 2017-06-13 Abbott Diabetes Care Inc. Sensitivity calibration of in vivo sensors used to measure analyte concentration
US10188334B2 (en) 2012-10-30 2019-01-29 Abbott Diabetes Care Inc. Sensitivity calibration of in vivo sensors used to measure analyte concentration
US11694797B2 (en) 2012-10-30 2023-07-04 Neil S. Davey Virtual healthcare communication platform
US9801577B2 (en) 2012-10-30 2017-10-31 Abbott Diabetes Care Inc. Sensitivity calibration of in vivo sensors used to measure analyte concentration
US9668694B2 (en) 2013-03-14 2017-06-06 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US9320450B2 (en) 2013-03-14 2016-04-26 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US11076807B2 (en) 2013-03-14 2021-08-03 Nielsen Consumer Llc Methods and apparatus to gather and analyze electroencephalographic data
US9474475B1 (en) 2013-03-15 2016-10-25 Abbott Diabetes Care Inc. Multi-rate analyte sensor data collection with sample rate configurable signal processing
US10874336B2 (en) 2013-03-15 2020-12-29 Abbott Diabetes Care Inc. Multi-rate analyte sensor data collection with sample rate configurable signal processing
US10076285B2 (en) 2013-03-15 2018-09-18 Abbott Diabetes Care Inc. Sensor fault detection using analyte sensor data pattern comparison
US10433773B1 (en) 2013-03-15 2019-10-08 Abbott Diabetes Care Inc. Noise rejection methods and apparatus for sparsely sampled analyte sensor data
JP2017500672A (en) * 2013-09-19 2017-01-05 ユナリウェア、インク.Unaliwear, Inc. Auxiliary devices and systems
US10051410B2 (en) 2013-09-19 2018-08-14 Unaliwear, Inc. Assist device and system
US10687193B2 (en) 2013-09-19 2020-06-16 Unaliwear, Inc. Assist device and system
WO2015042487A1 (en) * 2013-09-19 2015-03-26 Booth Jean Anne Assist device and system
US11717225B2 (en) 2014-03-30 2023-08-08 Abbott Diabetes Care Inc. Method and apparatus for determining meal start and peak events in analyte monitoring systems
US9622703B2 (en) 2014-04-03 2017-04-18 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US11141108B2 (en) 2014-04-03 2021-10-12 Nielsen Consumer Llc Methods and apparatus to gather and analyze electroencephalographic data
US9622702B2 (en) 2014-04-03 2017-04-18 The Nielsen Company (Us), Llc Methods and apparatus to gather and analyze electroencephalographic data
US20150350749A1 (en) * 2014-05-30 2015-12-03 David Andrew PYBUS Acute Care Display System
DE102014008684A1 (en) * 2014-06-13 2016-01-07 Personal Medsystems Gmbh INTELLIGENT ELECTRODE
DE102014008684B4 (en) 2014-06-13 2020-06-18 Personal Medsystems Gmbh SMART ELECTRODE
US20180182492A1 (en) * 2015-08-21 2018-06-28 Omron Healthcare Co., Ltd. Diagnosis assistance apparatus, diagnosis assistance method, diagnosis assistance program, bodily information measurement apparatus
US11694808B2 (en) * 2015-08-21 2023-07-04 Omron Healthcare Co., Ltd. Diagnosis assistance apparatus, diagnosis assistance method, diagnosis assistance program, bodily information measurement apparatus
CN105250090A (en) * 2015-11-16 2016-01-20 华北理工大学 Intelligent care bed for ICU
US10646144B2 (en) 2015-12-07 2020-05-12 Marcelo Malini Lamego Wireless, disposable, extended use pulse oximeter apparatus and methods
US11109783B2 (en) 2015-12-07 2021-09-07 True Wearables, Inc. Wireless, disposable, extended use pulse oximeter apparatus and methods
US11647924B2 (en) 2015-12-07 2023-05-16 True Wearables, Inc. Wireless, disposable, extended use pulse oximeter apparatus and methods
WO2017173434A1 (en) * 2016-04-02 2017-10-05 Peabody Steven R Medical diagnostic device, system, and method of use
US20210307698A1 (en) * 2016-04-02 2021-10-07 Steven R. Peabody Medical Diagnostic Device, System, and Method of Use
US11064948B2 (en) * 2016-04-02 2021-07-20 Steven R. Peabody Medical diagnostic device, system, and method of use
CN108882850A (en) * 2016-04-02 2018-11-23 史蒂芬·R·皮博迪 Medical diagnostic equipment, system and application method
CN109831923A (en) * 2016-09-28 2019-05-31 公益财团法人神户医疗产业都市推进机构 Dementia, which is situated between, protects burden degree judgment means, dementia Jie's shield burden degree judgment method, dementia Jie shield burden degree determining program, dementia therapeutic effect judgment means, dementia therapeutic effect judgment method, dementia therapeutic effect determining program
US11350862B2 (en) 2017-10-24 2022-06-07 Dexcom, Inc. Pre-connected analyte sensors
US11382540B2 (en) 2017-10-24 2022-07-12 Dexcom, Inc. Pre-connected analyte sensors
US11706876B2 (en) 2017-10-24 2023-07-18 Dexcom, Inc. Pre-connected analyte sensors
US11331022B2 (en) 2017-10-24 2022-05-17 Dexcom, Inc. Pre-connected analyte sensors
US11943876B2 (en) 2017-10-24 2024-03-26 Dexcom, Inc. Pre-connected analyte sensors
US11317283B1 (en) 2018-02-12 2022-04-26 True Wearables, Inc. Single use medical device apparatus and methods
US10659963B1 (en) 2018-02-12 2020-05-19 True Wearables, Inc. Single use medical device apparatus and methods
CN110801205A (en) * 2019-11-18 2020-02-18 陈兖清 Human body data monitoring method based on Internet technology
US11950936B2 (en) 2023-02-22 2024-04-09 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
US11954273B2 (en) 2023-04-17 2024-04-09 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels

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